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Introduction to Probability and Mathematical Statistics (Duxbury Classic), by Lee J. Bain, Max Engelhardt
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The Second Edition of INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS focuses on developing the skills to build probability (stochastic) models. Lee J. Bain and Max Engelhardt focus on the mathematical development of the subject, with examples and exercises oriented toward applications.
- Sales Rank: #97054 in Books
- Brand: Brand: Cengage Learning
- Published on: 2000-03-17
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 7.25" w x 1.00" l, 2.22 pounds
- Binding: Paperback
- 656 pages
- Used Book in Good Condition
Review
1. Probability 2. Random Variables and Their Distributions 3. Special Probability Distributions 4. Joint Distributions 5. Properties of Random Variables 6. Functions of Random Variables 7. Limiting Distributions 8. Statistics and Sampling Distributions 9. Point Estimation 10. Sufficiency and Completeness 11. Interval Estimation 12. Tests of Hypotheses 13. Contingency Tables and Goodness-of-Fit 14. Nonparametric Methods 15. Regression and Linear Models (Optional) 16. Reliability and Survival Distributions (Optional)
Most helpful customer reviews
13 of 15 people found the following review helpful.
This is a great book!
By Ali Civril
If you want to learn the theory behind Probability and Statistics, this is the book that you would like to start with. Unlike other books titled like "Prob for Engineers" and such, this book develops the theory in a solid layout, including introductions to some advanced topics like order statistics. It also includes a wide range of tables which makes it a good reference book.
But, beware. If you are a novice in math or probability, you must avoid this book. This is an intermediate book for a graduate student who has taken a simple introductory probability course in undergrad and wants to pursue more advanced topics. And, in this sense, it does its job very well. Strongly recommended...
9 of 11 people found the following review helpful.
This is a well-organized learning text, and great reference.
By A Customer
I am currently a graduate student in Statistics, and I highly recommend this book to anyone who plans to concentrate in Statistics. Although the level of the text has been rated "difficult" by other reviewers here, I find that it is very clear and complete. For comparison, it is at a lower level than Casella & Berger, but above an introductory text. It covers the methods and theory well, without delving too deeply into overly general/rigorous definitions. I would recommend this text for Mathematics and Engineering students, as well as to students in Statistics as an early text.
2 of 2 people found the following review helpful.
Excellent introduction but you'll need some analysis to really understand the book
By Kindle Customer
Very good introduction to mathematical statistics. One word of warning though, although on the surface it may seem that only a familiarity with multivariate calculus is required to use this book successfully, in actuality a familiarity with analysis would be highly valuable, particularly the basic notions of limits for sequences, series, functions, and sequences of functions. Without this familiarity many of the fundamental notions of the frequentist interpretation of probability presented in this book will be lost on the reader.
Also, be prepared to research particular propositions and theorems independently (thank you Google). Mathematical statistics is simply to broad and deep of a subject to be able to provide a complete presentation of the subject in a single book. In many instances I just found it particularly helpful to look at the same concept from a slightly different perspective.
After reading many of the negative reviews of this book I think these are the two primary sources of problems encountered by unsatisfied readers. One, they do not have a working familiarity with the notions of limits and two they do not realize that you'll need to do independent research to fully understand the material. To be honest, at the level that this textbook is written at there is just no way around these two issues. If the book didn't require this of the reader it would just be another introductory non-mathematical statistics book.
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