Mathematical Statistics and Data Analysis, 3/e (IE-Paperback)(with CD Data Sets)

John A. Rice

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本書序言

●Nearly 100 new problems, including many that are substantial enough to form the basis for computer labs.
●Examples from contemporary, high interest areas such as genomics and financial statistics complement already interesting existing applications (e.g., probability of AIDS infection, state lotteries, polygraph testing) and graphical displays.
●There is new treatment of the topic of loglinear smoothing.
●Treatment of Bayesian inference is now presented in parallel with frequentist methods.

本書特色

●Many exercises that enrich the book. (Some are relatively simple and reinforce calculations. Others concern bootstrap and Monte Carlo methods and theoretical material on survey sampling. Many incorporate use of the computer.)
●Introduction to the bootstrap method as a simple yet powerful tool that is integrated with general inferential procedures (Monte Carlo methods are also introduced.)

目錄大綱

1. PROBABILITY.
2. RANDOM VARIABLES.
3. JOINT DISTRIBUTIONS.
4. EXPECTED VALUES.
5. LIMIT THEOREMS.
6. DISTRIBUTIONS DERIVED FROM THE NORMAL DISTRIBUTION.
7. SURVEY SAMPLING.
8. ESTIMATION OF PARAMETERS AND FITTING OF PROBABILITY DISTRIBUTIONS.
9. TESTING HYPOTHESES AND ASSESSING GOODNESS OF FIT.
10. SUMMARIZING DATA.
11. COMPARING TWO SAMPLES.
12. THE ANALYSIS OF VARIANCE.
13. THE ANALYSIS OF CATEGORICAL DATA.
14. LINEAR LEAST SQUARES.
Appendix A. Common Distributions.
Appendix B. Tables.
Bibliography.
Answers to Selected Problems.