Minggu, 31 Januari 2016

^ Free PDF Principles of Biostatistics (with CD-ROM), by Marcello Pagano, Kimberlee Gauvreau

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Marcello Pagano and Kimberlee Gauvreau's PRINCIPLES OF BIOSTATISTICS, Second Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real data to bring the material to life.

  • Sales Rank: #47196 in Books
  • Brand: Brand: Cengage Learning
  • Published on: 2000-03-09
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.75" h x 7.50" w x 1.25" l, 2.40 pounds
  • Binding: Hardcover
  • 592 pages
Features
  • Used Book in Good Condition

Review
"I like the approach taken by these authors. The data examples are timely and fit well into a Public Health format...The statistical graphics are well handled in this text."

About the Author
Robert R. Pagano received a Bachelor of Electrical Engineering degree from Rensselaer Polytechnic Institute in 1956 and a Ph.D. in Biological Psychology from Yale University in 1965. He was Assistant Professor and Associate Professor in the Department of Psychology at the University of Washington, Seattle, from 1965 to 1989. He was Associate Chairman of the Department of Neuroscience at the University of Pittsburgh, from 1990 to June 2000. While there, in addition to his other duties, he served as Director of Undergraduate Studies, was the departmental adviser for undergraduate majors, taught both undergraduates and graduate statistics courses, and served as a statistical consultant for departmental faculty. Pagano was also Director of the Statistical Cores for two NIH center grants in schizophrenia and Parkinson's disease. He retired from the University of Pittsburgh in June 2000. Pagano taught introductory statistics courses at the University of Washington and at the University of Pittsburgh for over thirty years combined. While at the University of Washington, he was a finalist for the Outstanding Teaching award for his instruction of introductory statistics.

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0 of 0 people found the following review helpful.
Four Stars
By NCast
Good for the price, however it took longer to receive than expected. Otherwise, worth the purchase!

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Three Stars
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I made it through the course!

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Five Stars
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Kamis, 28 Januari 2016

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  • Sales Rank: #12182356 in Books
  • Published on: 1995
  • Format: Import
  • Number of items: 1
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  • 199 pages

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Senin, 25 Januari 2016

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This text introduces students to a select set of leading theories in the communication field and demonstrates how these theories apply to their lives. Chapters group theories coherently so that students can compare and contrast different approaches to particular interests in the field (for example: relationships, performance, language and mass communication).

  • Sales Rank: #9801318 in Books
  • Published on: 2003-08-07
  • Original language: English
  • Dimensions: .0" h x .0" w x .0" l, .0 pounds
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Julia Wood joined the faculty at the University of North Carolina at Chapel Hill when she was 24. During her 37 years on the faculty, she taught classes and conducted research on personal relationships as well as gender, communication, and culture. She was named the Lineberger Distinguished Professor of Humanities and the Caroline H. and Thomas S. Royster Distinguished Professor of Graduate Education. In addition to publishing 25 books and 100 articles and book chapters, she has presented more than 100 papers at professional conferences and campuses around the country. Her accolades include 14 awards honoring her teaching and 16 awards recognizing her scholarship. She received her B.A. from North Carolina State University, her M.A. from the University of North Carolina at Chapel Hill, and her Ph.D. from The Pennsylvania State University.

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Jumat, 22 Januari 2016

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Completing the time-proven Swokowski/Cole precalculus series, this book helps students learn, understand, and appreciate trigonometry without compromising mathematical integrity. The book takes a unit-circle first approach to trigonometry and incorporates the use of the graphing calculator. Numerous application problems help motivate students toward success in learning trigonometry.

  • Sales Rank: #1018069 in Books
  • Brand: Brand: Cengage Learning
  • Published on: 1998-11-11
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.58" h x 1.07" w x 8.34" l, 2.61 pounds
  • Binding: Hardcover
  • 504 pages
Features
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1 of 1 people found the following review helpful.
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For the most part this is a good book. It covers the subject of fundamental trigonometry well. The downside to this book is that the author at times seems to be a little scatter brained. At times it is a little difficult to understand why he does what he does; in the end though he accomplishes his task of teaching. This book is diffenently a higher level reading and should be used by college students.

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  • Sales Rank: #1727179 in Books
  • Brand: Brand: American Mathematical Society
  • Published on: 2004-10-15
  • Original language: English
  • Number of items: 1
  • Dimensions: .73" h x 6.70" w x 9.32" l, 1.34 pounds
  • Binding: Hardcover
  • 336 pages
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"This is an amazing book, which contains a wealth of interesting material...Anyone reading the text will be astounded by the variety of algebraic tools and concepts which can be used to solve some of the problems treated in the text."

About the Author
S. R. Nagpaul was visiting Professor of Mathematics at Ohio University 1983-1984 and 1999-2004. He was formerly Head of the Department of Mathematics at St. Stephen's College, Delhi. Dr. Nagpaul received his Ph.D. from Harvard University under G. Birkhoff. He is a coauthor of two other texts: BASIC ABSTRACT ALGEBRA, Cambridge University Press, and LINEAR ALGEBRA, New Age Publisher. His special interest is in Discrete Mathematics.

S. K. Jain is a Distinguished Professor of Mathematics at Ohio University. He is also the Director of the Center of Ring Theory and its Applications. Before joining the faculty at Ohio University, he was a Reader in Mathematics at the University of Delhi (1965-70). Dr. Jain has held visiting professor appointments at several institutions worldwide. His visiting positions include the Riverside, Santa Barbara and Berkeley campuses of the University of California, the Ohio State University in Columbus, North Carolina State University in Raleigh, University of Chicago, McMaster University in Hamilton and University of Frankfurt as well as the Indian Statistical Institute, and the Indian Institute of Technology. Dr. Jain has authored more than 100 research articles that have been published in professional journals. He was awarded the Outstanding Graduate Faculty Award, 1999- Ohio University. A life member of the Indian Mathematical Society, he is also a member of the American Mathematical Society and the Society for Industrial and Applied Mathematics. He has delivered Professional lectures at mathematical meetings all over the world and has been the organizer of conferences on many topics in Abstract Algebra. He is an executive editor of the East-West Journal of Mathematics and executive editor of the Journal of Algebra and its Applications, published by World Scientific Press. He has supervised 18 Ph.D. dissertations in noncommutative rings, modules, and applied linear algebra.

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Kamis, 21 Januari 2016

? Download Ebook Chemistry for Today: General, Organic, and Biochemistry (with InfoTrac), by Spencer L. Seager, Michael R. Slabaugh, Michael R. Slabaugh Sp

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Chemistry for Today: General, Organic, and Biochemistry (with InfoTrac), by Spencer L. Seager, Michael R. Slabaugh, Michael R. Slabaugh Sp

Distinguished by its superior allied health focus and integration of technology, Seager/Slabaugh's Chemistry for Today, Fourth Edition continues to lead the market on both fronts through numerous allied health-related applications, examples, boxes, and a new robust book-specific web site. The authors strive to dispel users' inherent fear of chemistry and to instill an appreciation for the role chemistry plays in our daily lives through a rich pedagogical structure and an accessible writing style that provides lucid explanations. In addition, Seager/Slabaugh's Chemistry for Today, Fourth Edition, provides greater support in both problem-solving and critical-thinking skills. By demonstrating how this information will be important to a reader's future career and providing important career information on associated web pages, Seager/Slabaugh not only helps readers to set goals but also to focus on achieving them. All in all, Seager/Slabaugh's pedagogical support, allied-health focus, and technology package is unmatched.

  • Sales Rank: #1391853 in Books
  • Published on: 1999-12-08
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.75" h x 8.50" w x 1.25" l,
  • Binding: Hardcover
  • 900 pages

About the Author
Spencer L. Seager is Professor of Chemistry at Weber State University, where he served as chemistry department chairman from 1969 until 1993. He teaches general and physical chemistry at the university and is also active in projects to help improve chemistry and other science education in local elementary schools. He received his B.S. in chemistry and Ph.D. in physical chemistry from the University of Utah.

Michael R. Slabaugh is Professor of Chemistry at Weber State University, where he teaches the year-long sequence of General, Organic, and Biochemistry. He received his B.S. in chemistry from Purdue and his Ph.D. in organic chemistry from Iowa State University. His interest in plant alkaloids led to a year of postdoctoral study in biochemistry at Texas A & M. His current professional interests are chemistry education and community involvement in science activities, particularly the State Science and Engineering Fair in Utah.

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Senin, 18 Januari 2016

> Download Linear Algebra: A Modern Introduction (Available Titles CengageNOW), by David Poole

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In this innovative new Linear Algebra text, award-winning educator David Poole covers vectors and vector geometry first to enable students to visualize the mathematics while they are doing matrix operations. Rather than merely doing the calculations with no understanding of the mathematics, students will be able to visualize and understand the meaning of the calculations. By seeing the mathematics and understanding the underlying geometry, students will develop mathematical maturity and learn to think abstractly.

  • Sales Rank: #964842 in Books
  • Brand: Brand: Brooks Cole
  • Published on: 2002-03-13
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x 8.00" w x 1.45" l,
  • Binding: Hardcover
  • 763 pages
Features
  • Used Book in Good Condition

Review
"The writing style is always extremely crisp and clear and offers exactly the right amount of detail."

About the Author
David Poole is Professor of Mathematics at Trent University, where he has been a faculty member since 1984. Dr. Poole has won numerous teaching awards: Trent University's Symons Award for Excellence in Teaching (the university's top teaching award), three merit awards for teaching excellence, a 2002 Ontario Confederation of University Faculty Associations Teaching Award (the top university teaching award in the province), a 2003 3M Teaching Fellowship (the top university teaching award in Canada, sponsored by 3M Canada Ltd.), a 2007 Leadership in Faculty Teaching Award from the province of Ontario, and the Canadian Mathematical Society's 2009 Excellence in Teaching Award. From 2002-2007, Dr. Poole was Trent University's Associate Dean (Teaching & Learning). His research interests include discrete mathematics, ring theory, and mathematics education. He received his B.Sc. from Acadia University in 1976 before earning his M.Sc. (1977) and Ph.D. (1984) from McMaster University. When he is not doing mathematics, David Poole enjoys hiking and cooking, and he is an avid film buff.

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52 of 54 people found the following review helpful.
Excellent text for self study or coursework
By ash145
I am a control systems engineer and deal with the design of physical systems, both linear as well as non-linear. I constantly use this text to refresh material related to linear systems and find it an indispensable resource. Here's why.

The text is very clearly written and the exercises are excellent. Dr Poole does not obfuscate core issues with lengthy proofs. Which is not to say proofs are not presented - they are, but in a very accessible (read "geometric") form. I would strongly urge serious students of the subject to work through the problem sets - they will bring a deeper level of understanding.

Highly recommended to students as well as professionals.

Update: Jul-2009
I would also recommend checking out Prof Gilbert Strang's MIT OCW lecture on Linear Algebra. Also get Strang's book of the same name - work through the video lectures and the book problems and you will end up with a first class background in the subject.

63 of 67 people found the following review helpful.
A lifesaver
By Mark S. Weiss
As a computer science graduate student without the proper math background, I've been cramming mathematical concepts into my brain for the last few years. And this book, every time, has provided the most lucid, digestable and yet usefully rigorous explanation I have found for whatever concept I'm learning. The four-page explanation of Markov chains, pp. 217-220, e.g., seems very hard to top. The thing is, in CS especially perhaps, you learn to use math as a tool when you have that "ah-hah" moment of intuition. When you get the idea of what *the point* of the particular mathematical tool is. Then you can apply it and use it to think about other problems you might want to solve. Math as a way of thinking. Which is where the clarity of writing and explanation in this book comes through for you. Which is not to say the problems aren't excellent as well, because they are, and you have plenty of opportunity to practice the manipulations associated with a given concept as well. I can't recommend this book enough.

0 of 0 people found the following review helpful.
Five Stars
By Josh
Great book with clear explanations, plenty of exercises, and answers to the odd-numbered exercises.

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Sabtu, 16 Januari 2016

* Download Ebook A First Course in Statistical Methods (with CD-ROM) (Duxbury), by Lyman Ott, Micheal T. Longnecker

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A First Course in Statistical Methods (with CD-ROM) (Duxbury), by Lyman Ott, Micheal T. Longnecker

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A First Course in Statistical Methods (with CD-ROM) (Duxbury), by Lyman Ott, Micheal T. Longnecker

A FIRST COURSE IN STATISTICAL METHODS addresses a pressing need in the methods course-a shorter text designed for a one-term course. By selecting and revising material from their best-selling two-semester text, AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Fifth Edition, the authors created an ideal book for a one-term course in statistical methods. Based on the belief that statistics is a thought process tied to the scientific method, the text utilizes a 5-step approach: 1) defining the problem, 2) collecting data, 3) summarizing data, 4) analyzing and interpreting the data, and 5) communicating the results of the analysis.

  • Sales Rank: #436373 in Books
  • Brand: Brand: Cengage Learning
  • Published on: 2004
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.86" h x 1.34" w x 7.54" l, 3.40 pounds
  • Binding: Hardcover
  • 768 pages
Features
  • Used Book in Good Condition

Review
Step 1: DEFINING THE PROBLEM. 1. Statistics and the Scientific Method. Introduction. Why Study Statistics? Some Current Applications of Statistics. A Note to the Student. Staying Focused. Step 2: COLLECTING DATA. 2. Collecting Data Using Surveys and Scientific Studies. Introduction. Surveys. Sampling Designs for Surveys. Scientific Studies. Experimental Designs for Scientific Studies. Observational Studies. Data Management: Preparing Data for Summarization and Analysis (Optional). Staying Focused. Step 3: SUMMARIZING DATA. 3. Summarizing Data. Introduction. Calculators, Computers, and Software Systems. Summarizing Data on a Single Variable: Graphical Methods. Summarizing Data on a Single Variable: Measures of Central Tendency. Summarizing Data on a Single Variable: Measures of Variability. The Boxplot. Summarizing Data from More than One Variable. Encounters with Real Data. Staying Focused. 4. Probability and Probability Distributions. How Probability Can Be Used in Making Inferences. Finding the Probability of an Event. Basic Event Relations and Probability Laws. Conditional Probability and Independence. Bayes? Formula. Variables: Discrete and Continuous. Probability Distributions for Discrete Random Variables. A Useful Discrete Random Variable: The Binomial. Probability Distributions for Continuous Random Variables. A Useful Continuous Random Variable: The Normal Distribution. Random Sampling. Sampling Distributions. Normal Approximation to the Binomial. MINITAB Instructions (Optional). Staying Focused. Step 4: ANALYZING DATA, INTERPRETING THE ANALYSES, AND COMMUNICATING THE RESULTS. 5. Inferences About Population Central Values. Introduction. Estimation of i. Choosing the Sample Size for Estimating i. A Statistical Test for i. Choosing the Sample Size for Testing i. The Level of Significance of a Statistical Test. Inferences about i for Normal Population, o Unknown. Inferences about Median. Encounters with Real Data. Staying Focused. 6. Inferences Comparing Two Population Central Values. Introduction. Inferences about i1?i2: Independent Samples. A Nonparametric Alternative: The Wilcoxon Rank Sum Test. Inferences about i1?i2: Paired Data. A Nonparametric Alternative: The Wilcoxon Signed-Rank Test. Choosing Sample Sizes for Inferences about i1?i2. Encounters with Real Data. Staying Focused. 7. Inferences About Population Variances. Introduction. Estimation and Tests for a Population Variance. Estimation and Tests for Comparing Two Population Variances. Tests for Comparing t > 2 Population Variances. Encounters with Real Data. Staying Focused. 8. The Completely Randomized Design. Introduction. The Model for Observations in a Completely Randomized Design. Analyzing Data from a Completely Randomized Design: An Analysis of Variances. Checking on the AOV Conditions. A Nonparametric Alternative: The Kruskal?Wallis Test. Multiple Comparisons. Encounters with Real Data. Staying Focused. 9. More Complicated Experimental Designs. Introduction. Randomized Complete Block Design. Latin Square Design. Factorial Treatment Structure in a Completely Randomized Design. Factorial Treatment Structure in a Randomized Complete Block Design.Estimation of Treatment Differences and Comparisons of Treatment Means. Encounters with Real Data. Staying Focused. 10. Categorical Data. Introduction. Inferences About a Population Proportion d.Inferences About the Difference Between Two Population Proportions d1? d2. Inferences About Several Proportions: Chi-Square Goodness-of-Fit Test. Contingency Tables: Tests for Independence and Homogeneity. Odds and Odds Ratios. Encounters with Real Data. Staying Focused. 11. Linear Regression and Correlation. Introduction. Estimating Model Parameters. Inferences about Regression Parameters. Predicting New y Values Using Regression. Examining Lack of Fit in Linear Regression. The Inverse Regression Problem (Calibration). Correlation. Encounters with Real Data. Staying Focused. 12. Multiple Regression. Introduction. Estimating Multiple Regression Coefficients. Inferences in Multiple Regression. Testing a Subset of Regression Coefficients. Comparing the Slopes of Several Regression Lines. Logistic Regression. Encounters with Real Data. Staying Focused. 13. Communicating and Documenting the Results of Analyses. Introduction. The Difficulty of Good Communication. Communication Hurdles: Graphical Distortions. Communication Hurdles: Biased Samples. Communication Hurdles: Sample Size. Preparing Data for Statistical Analysis. Guideline for a Statistical Analysis and Report. Documentation and Storage of Results. Staying Focused. Appendix. References. Selected Answers. Index.

About the Author
Michael Longnecker currently serves as Professor and Associate Department Head at Texas A&M University. He received his B.S. at Michigan Technological University, his first M.S. at Western Michigan University, his second M.S. at Florida State University, and his Ph.D. at Florida State University. He is interested in Nonparametrics, Statistical Process Control, and Statistical Consulting.

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0 of 1 people found the following review helpful.
Mathematically disappointing
By Nicolas Fillion
Ott and Longnecker's book has been used as the textbook for a course on statistical methods in a mathematics department. As a student, I was very disappointed. The book is well-written, and makes direct applications to simple problems easy. However, almost no mathematical explanation of the methods adopted to solve problems is provided! The book may be appropriate for a course offered in lower-division engineering or in social science, but as a textbook for a math class, it is overly simplistic.

3 of 3 people found the following review helpful.
Not an easy read
By Stan Getz
I had to read this book for a statistics course. In the Preface, it states "We presume students using this book have a minimal mathematical background (high school algebra) and no prior coursework in statistics" (page xi; 2004 edition). I found this statement to be stretching the truth; this book is hard to read, hard to understand and hard to digest. Contrary to the preface's inviting statement, the reader would be in a MUCH better position to have mastered calculus and to have HAD previous experience in statistics. This book is NOT an easy read as the statement above would suggest. I had to abandon using this book in the course and resort to other texts. Caveat emptor.

2 of 2 people found the following review helpful.
Good Book on the Subject
By Robert
Statistical analysis is a dificult subject to grasp, and I felt this book did a good job of explaining the material. It is quite "hands on" with a focus on how to handle practical problems, and has enough theory to help understand the basic concepts. It avoids the upper level mathematics, concentrating instead on the logic & background of each analytical process. I found this book to be as good as any, and better than most.

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A First Course in Statistical Methods (with CD-ROM) (Duxbury), by Lyman Ott, Micheal T. Longnecker PDF
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Senin, 11 Januari 2016

? Download Probability and Statistics for Engineers, by Richard L. Scheaffer, Madhuri Mulekar, James T. McClave

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Probability and Statistics for Engineers, by Richard L. Scheaffer, Madhuri Mulekar, James T. McClave

PROBABILITY AND STATISTICS FOR ENGINEERS provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreting results. Traditional topics are presented thorough an accessible modern framework that emphasizes the statistical thinking, data collection and analysis, decision-making, and process improvement skills that engineers need on a daily basis to solve real problems. The text continues to be driven by its hallmark array of engineering applications--thoroughly expanded and modernized for the 5th edition--which tackle timely, interesting, and illuminating scenarios that show students the rich context behind the concepts. Within the presentation of topics and applications the authors continually develop students' intuition for collecting their own real data, analyzing it with the latest graphical tools, and interpreting the results with a goal of improving quality control and problem-solving process. Students will not only gain solid understanding of concepts and their real-life practicality, but will learn to become active statistical practitioners for their own future careers.

  • Sales Rank: #163062 in Books
  • Brand: Cengage Learning
  • Published on: 2010-06-22
  • Ingredients: Example Ingredients
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.00" h x 8.25" w x 1.50" l, 3.65 pounds
  • Binding: Hardcover
  • 848 pages
Features
  • Used Book in Good Condition

About the Author
Richard L. Scheaffer, Professor Emeritus of Statistics, University of Florida, received his Ph.D. in statistics from Florida State University. Accompanying a career of teaching, research and administration, Dr. Scheaffer has led efforts on the improvement of statistics education throughout the school and college curriculum. Co-author of five textbooks, he was one of the developers of the Quantitative Literacy Project that formed the basis of the data analysis strand in the curriculum standards of the National Council of Teachers of Mathematics. He also led the task force that developed the AP Statistics Program, for which he served as Chief Faculty Consultant. Dr. Scheaffer is a Fellow and past president of the American Statistical Association, a past chair of the Conference Board of the Mathematical Sciences, and an advisor on numerous statistics education projects.

Madhuri S. Mulekar, Professor of Statistics, University of South Alabama, received her Ph.D. from Oklahoma State University. She is involved in teaching, research, and consulting activities with the faculty from the college of medicine, University of South Alabama hospitals, and Mitchell Cancer Institute. She has authored an exam-preparation book for Advanced Placement (AP) Statistics and has been involved with the AP Statistics exam since it was first administered, serving on the test development committee. She is actively involved in the American Statistical Association's efforts for improving statistics education by serving on various national committees such as Advisory Committee on Continuing Education and ASA-MAA joint committee on undergraduate statistics. Prof. Mulekar has published many research as well as teaching related articles. Recipient of many grants, she directed undergraduate research program in statistics that was funded by NSF. Dr. Mulekar is a Fellow of American Statistical Association and a recipient of outstanding scholar award by Phi Kappa Phi, the national honor society.

Most helpful customer reviews

9 of 9 people found the following review helpful.
Do not buy this horrible excuse of a textbook!!!
By Jin
I took an engineering statistics course this past semester that required the class to buy this textbook. One week after class started our professor informed us that this textbook contained quite a few errors in just the first few chapters. This "textbook" is written very poorly and has errors almost every few pages. The most glaring problem was that the answers provided in the back of the book for odd questions were sometimes incorrect. As in the problem would say what is 2+2 and the back would give you 5. This caused extreme confusion and frustration during the first week as our entire class bombarded our professor with questions as to how we did certain questions wrong when we were sure they were right. In addition to the errors in the answers provided, there were many grammatical errors scattered all over the book. A textbook should never have grammatical errors much less a $200 one. Usually, the errors are easy to spot out and can be overlooked but the major problem was when they occurred in the questions. In certain ones, the word 'and' would be used when they meant to use 'or' and sometimes words were missing completely. In statistics, the answer to a question that emphasizes 'and' or 'or' are drastically different especially when its the case of combinations or permutations. Simply put, whoever edited/proofread this textbook did not do their job even remotely correct and it should not be used for learning statistics as it will make you question whether you did the problems wrong or if the book simply made another avoidable mistake. I should make note that these problems were present in the fifth edition and I am not sure whether these same mistakes are in any of the previous or future editions. Do not buy this textbook and if it is on your class materials, inform your professor of the problems this textbook carries.

5 of 5 people found the following review helpful.
Toilet Paper
By Amazon Customer
This book has SO MANY errors. Every page I find a mistake, and I don't mean little spelling errors I mean they didn't add correctly, or the formula that's being presented is wrong(!!!), or their charts are labeled incorrectly.

Also most the problems start out with "refer to Exercise __" which is on some other page or sometimes another chapter, so you have to constantly flip back and forth. Even the solutions manual was like that (which, by the way, you will need, because it's not always clear how they got their answers- only to find out they did it wrong!!)

And worse of all is the tables in the appendixes are not labeled right, so the book refers you to appendix D table 4, but it's the wrong set of values, the one you actually want is printed on the inside back cover that's not labeled at all!

Did this book not get edited? I kept wondering if maybe it was a semester project for some class.

5 of 5 people found the following review helpful.
Aweful
By Andrew McKinlay
I haven't even read one chapter and I have already made my decision about this textbook. There are glaring errors every page! And I'm not talking about just the exercises, in the examples and descriptions, too! I am not normally able to spot errors in this textbook, but this is just crazy. A rip off of money. The prose is forced, boring, and dull. Sounds like someone wrote this thing at the last minute.

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Sabtu, 09 Januari 2016

## Get Free Ebook Psychology the Adaptive Mind Multimedia Enhancedversion, by James S. Nairne

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  • Sales Rank: #5771652 in Books
  • Brand: Thomson
  • Published on: 2000-06
  • Ingredients: Example Ingredients
  • Original language: English
  • Number of items: 1
  • Binding: Paperback
  • 659 pages

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Jumat, 08 Januari 2016

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Differential Equations (with CD-ROM), by Paul Blanchard, Robert L. Devaney, Glen R. Hall

This text pioneers a new way of teaching the standard sophomore-level differential equations course. The authors stress a more balanced approach, one that includes analytic, numeric, and graphical techniques. The text emphasizes modeling and qualitative theory throughout the course. It employs technology significantly and consistently, presents linear and nonlinear systems in parallel, and includes an introduction to discrete dynamical systems. This text grew out of the Boston University Differential Equations Project, funded in part by the National Science Foundation.

  • Sales Rank: #1049588 in Books
  • Brand: Brand: Brooks Cole
  • Published on: 2002-01-18
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x 8.00" w x 1.25" l,
  • Binding: Hardcover
  • 786 pages
Features
  • Used Book in Good Condition

Review
"I liked the emphasis on qualitative and numerical solution methods in addition to the more traditional analytic techniques. Students come away from a course using this text with a better understanding of what an ordinary differential equation (ODE) is and what it means to "solve" such an equation."

"It is clearly the best undergraduate ODE text that I have ever looked at, and I am pushing to have the text adopted for all our undergraduate differential courses. . . The authors have jettisoned the classic "cookbook" approach in favor of one which fosters critical thinking. The students need to formulate, solve and interpret the solutions to the problems. In order to do this effectively, the students are taught some fundamentals of modeling and are presented with an arsenal of tools, including qualitative, numeric, and analytic approaches for solving differential equations."

"I really liked the way that systems are introduced at the beginning of the text and stressed throughout the remainder of the text. I thoroughly enjoyed the systems approach to solving DE's and my students did, too. In fact, when we hit the "lucky guess" methods in later sections, my students found these traditional methods of solving DE's to be a snap compared to the algebra they used when solving systems. . . I liked the continuous emphasis on qualitative analysis. It was made evident in the first section of the text that graphical analysis would be used as a significant problem solving tool and the value of qualitative analysis was repeatedly stressed throughout the remainder of the text. . . I liked the balance between graphical analysis and the traditional symbolic analysis required in your typical DE course. I do not feel in the least that my students were shortchanged on symbolic manipulations required to be successful in later courses. On the other hand, the authors were careful not to go overboard and introduce one symbolic technique after another. I really feel they struck a fair balance."

"There are many texts that claim to be written in the spirit of the so-called calculus reform movement. In my opinion, the text under review achieves this goal better than any book that I have seen. This book presents at a very elementary level the kinds of material that opens the door for the understanding of many of the great achievements in dynamical systems that have been accomplished over the last 30 years."

About the Author
Paul Blanchard is Associate Professor of Mathematics at Boston University. Paul grew up in Sutton, Massachusetts, spent his undergraduate years at Brown University, and received his Ph.D. from Yale University. He has taught college mathematics for twenty-five years, mostly at Boston University. In 2001, he won the Northeast Section of the Mathematical Association of America's Award for Distinguished Teaching in Mathematics. He has coauthored or contributed chapters to four different textbooks. His main area of mathematical research is complex analytic dynamical systems and the related point sets, Julia sets and the Mandelbrot set. Most recently his efforts have focused on reforming the traditional differential equations course, and he is currently heading the Boston University Differential Equations Project and leading workshops in this innovative approach to teaching differential equations. When he becomes exhausted fixing the errors made by his two coauthors, he usually closes up his CD store and heads to the golf course with his caddy, Glen Hall.

Robert L. Devaney is Professor of Mathematics at Boston University. Robert was raised in Methuen, Massachusetts. He received his undergraduate degree from Holy Cross College and his Ph.D. from the University of California, Berkeley. He has taught at Boston University since 1980. His main area of research is complex dynamical systems, and he has lectured extensively throughout the world on this topic. In 1996 he received the National Excellence in Teaching Award from the Mathematical Association of America. When he gets sick of arguing with his coauthors over which topics to include in the differential equations course, he either turns up the volume of his opera CDs, or heads for waters off New England for a long distance sail.

Glen R. Hall is Associate Professor of Mathematics at Boston University. Glen spent most of his youth in Denver, Colorado. His undergraduate degree comes from Carleton College and his Ph.D. comes from the University of Minnesota. His research interests are mainly in low-dimensional dynamics and celestial mechanics. He has published numerous articles on the dynamics of circle and annulus maps. For his research he has been awarded both NSF Postdoctoral and Sloan Foundation Fellowships. He has no plans to open a CD store since he is busy raising his two young sons. He is an untalented, but earnest, trumpet player and golfer. He once bicycled 148 miles in a single day.

Most helpful customer reviews

12 of 14 people found the following review helpful.
The Perfect Soph/Junior level DE book
By Nicholas Hoell
I used this book in a 2003 summer course in DE, and found it to be a wonderful introduction to the subject. I am not sure what some of the other people meant by saying it wasn't for math majors- I am one and found it wonderful. Not everything needs to be concise, (I gave Rudin's book five stars too BTW, so I AM a fan of some concise books).

It gave diverse examples of applications from all over--physics, EECS, ecology, biology, etc. The CD-Rom is a great learning tool. Ultimately analytic techniques are NOT what DE is about, and this book tries to show the student how to use qualitative and numerical methods early on. Anyone who wants to know DE must become familiar with numerics and the qualitative way of analyzing the equations.

This book will show you how to THINK about DE, and not how to mindlessly attack an equation based on its form.

This is the intro ODE book to which all others ought be compared.

If one wants an analytic reference just buy a cheap used copy of any of the countless DE cookbooks out there (I own a Shaums).

44 of 55 people found the following review helpful.
The Long and Fluffy Intro to Differential Equations
By Marc Corluy
I am an instructor teaching an introductory differential equations class using this book. Regrettably, the book is more of an extra weight to carry than a heplful tool.

Yet it is not so obvious to see why. A lot of the explonations are rather well done,

the examples are quite well chosen and constantly, th authors are trying to generate

a certain intuition in the reader.

I suppose the problem is that it is a full blooded ripoff textbook. It costs a whopping

$125 and therefore, it must have almost 800 pages, a shiny expensive looking

hardcover and a CD-ROM. The CD-ROM contains "Maple applet" like tools, that

come with huge drawbacks: often you can only choose the parameters in an equation in a very small interval and there is no normal way to print out any of the

graphics. You have to do a screen dump and then crop out the output screen of

these tools. Most freeware has more functionality.

To conclude, I suppose that my dislike for this book is mainly generated by the

fact that it has all the flaws of a textbook in todays perverted textbook market:



  • overpriced

  • comes with a semi-useless CD-rom

  • explanations grotesquely drawn out, e.g. the basic theory of linear systems of

    differential takes about 80 pages

  • core concepts and ideas are freely mixed with tangential remarks and colorful

    "faits divers" making no distinction between them whatsoever; when seeing diff. eq. for the first time you'll be as confused as humanly possible



Finally, I would like to end with a quote from the "Note to the Student" in the book:

"This book is probably different from most of your previous mathematics texts.

If you thumb through it, you will see that there are very few boxed formulas, no margin, notes and very few n-step procedures. We wrote the book this way because

we think that you are now at a point in your education were you should be learning

to identify and work effectively with the mathematics inherent in everyday life."

Can you believe this arrogance? This attitude is fine if you write a book for scientists and engineers to read by the fireplace on a cold winter evening while sipping from a glass of earthy and robust wine from the Bordeaux or Sud-Est regions, but not if you actually write it with students in mind, students that are going through their first diff. eq. class.

In short, as a reference it is useless, as a study guide it is mediocre at best, as "science leisure" book it is quite acceptable. But then, that would never fetch $125 on the free market.

33 of 35 people found the following review helpful.
A Student�s Perspective
By A Customer
As a recent differential equations student, I have mixed feelings about this book. I did thoroughly read those portions of the book covered by my instructor, and I did learn enough from it to get an A in the class. So I'll concede that it does a fairly good job as a textbook. In fact, I found it relatively easy to understand, which surprised me given the subject. However, the book has two serious shortcomings.
First, it's too verbose. The authors probably could have cut the size of this book in half without sacrificing any of its clarity or utility; in fact, they would likely have improved upon both had they done so. Mind you, I'm not suggesting that it's boring, it's just too long for a student in a hurry.
The second shortcoming is its questionable value as a reference book. Most math books with which I'm familiar have extensive indexes, and do a good job of highlighting important concepts and formulas. This book does neither. The index for this 786 page book is just over nine pages long. That might not sound bad, but many of the entries refer back to specific examples and homework problems with arcane names like "Magic Fingers", "Glass Harmonica", and "Robo-lobster", even while many key words were omitted. To make matter worse, the authors (according to their preface for students) made it a point not to mark important material in a way that would make it stand out. They also wrote many of their more advanced examples in a way that forces students to derive the intermediate steps on their own. This is arguably educational, as it forces students to practice earlier material while they're reading, but I can only imagine the hell it's going to put me through when I have to refer back to the book years from now.
In short, if you have a lot of time on your hands, this is a great book from which to learn differential equations. However, it's a terrible reference book, and nearly impossible to skim. In fact, it's even hard to study from.

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