Mathematical Statistics and Data Analysis, 3/e (IE-Paperback)(with CD Data Sets)
暫譯: 數理統計與資料分析(第三版)(IE-平裝本)(附CD資料集)

John A. Rice

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商品描述

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.)

商品描述(中文翻譯)

本書序言

●近100個新問題,其中許多問題足夠重要,可以作為電腦實驗室的基礎。

●來自當代高關注領域的例子,如基因組學和金融統計,補充了已經有趣的現有應用(例如,艾滋病感染的機率、州彩票、測謊測試)和圖形顯示。

●對於對數線性平滑(loglinear smoothing)主題有新的處理。

●貝葉斯推斷(Bayesian inference)的處理現在與頻率主義方法(frequentist methods)並行呈現。

本書特色

●許多練習題豐富了本書內容。(有些相對簡單,強化計算;其他則涉及自助法(bootstrap)和蒙地卡羅方法(Monte Carlo methods)以及調查取樣的理論材料。許多練習題結合了電腦的使用。)

●介紹自助法作為一種簡單而強大的工具,與一般推斷程序相結合(蒙地卡羅方法也被介紹)。

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.

目錄大綱(中文翻譯)

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.