An Introduction to Probability and Mathematical Statistics
โ Scribed by Howard G. Tucker and Ralph P. Boas (Auth.)
- Publisher
- Elsevier Inc
- Year
- 1962
- Tongue
- English
- Leaves
- 235
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content:
Academic Press: Textbooks in Mathematics, Page ii
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
Preface, Pages vii-ix
CHAPTER 1 - Events and Probabilities, Pages 1-13
CHAPTER 2 - Dependent and Independent Events, Pages 14-27
CHAPTER 3 - Random Variables and Probability Distributions, Pages 28-43
CHAPTER 4 - Discrete Distributions, Pages 44-53
CHAPTER 5 - Absolutely Continuous Distributions, Pages 54-65
CHAPTER 6 - Some Special Absolutely Continuous Distributions, Pages 66-80
CHAPTER 7 - Expectation and Limit Theorems, Pages 81-103
CHAPTER 8 - Point Estimation, Pages 104-124
CHAPTER 9 - Notes on Matrix Theory, Pages 125-145
CHAPTER 10 - The Multivariate Normal Distribution, Pages 146-160
CHAPTER 11 - Testing Statistical Hypotheses: Simple Hypothesis vs. Simple Alternative, Pages 161-182
CHAPTER 12 - Testing Simple and Composite Hypotheses, Pages 183-206
CHAPTER 13 - Confidence Intervals, Pages 207-218
Suggested Reading, Page 219
Tables IโIV, Pages 220-224
Index, Pages 225-228
๐ SIMILAR VOLUMES
I used this book in one of my advanced probability courses, and it helped me to improve my understanding of the theory behind probability. It definitely requires a background in probability and as the author says it's not a "cookbook", but a mathematics text. The authors develop the theory based on
The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.