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

John A. Rice

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

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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，其中許多問題足夠大，可以作為電腦實驗室的基礎。
● 當代高度感興趣的領域，例如基因組學和金融統計，與已有的有趣應用（例如愛滋病感染概率、州彩票、測謊）和圖形顯示相輔相成。
● 對於對數線性平滑的主題進行了新的處理。
● 貝葉斯推論的處理現在與頻率主義方法並列呈現。

本書特色

● 許多豐富本書的練習題。（有些相對簡單並加強計算。其他涉及自助法和蒙特卡羅方法以及關於調查抽樣的理論材料。許多練習題還包括使用電腦。）
● 將自助法作為一種簡單而強大的工具介紹給讀者，並與一般的推論程序相結合（同時也介紹了蒙特卡羅方法）。

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. 機率。
2. 隨機變數。
3. 聯合分佈。
4. 期望值。
5. 極限定理。
6. 源自正態分佈的分佈。
7. 調查抽樣。
8. 參數估計和擬合概率分佈。
9. 假設檢驗和適配度評估。
10. 數據總結。
11. 比較兩個樣本。
12. 變異數分析。
13. 類別數據分析。
14. 線性最小二乘法。
附錄A. 常見分佈。
附錄B. 表格。
參考文獻。
選擇性問題的答案。

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