我利用google搜尋板上文章

還有自身修讀的經驗(很多是成大統計老師用書或建議書目)

先預編了一下，還請板友幫忙補充

另外，如果很多本，不想推文的話，歡迎寄私信

目前徵求類別如下：

1. 統計學

a. Statistics for Business and Economics / McClave / Pearson

b. 統計學 / 陳順宇、鄭碧娥 / 華泰文化 ( https://goo.gl/HfAapW )

c. Introduction to the practice of statistics /
David S. Moore, George P. Mccabe /
W.H. Freeman and Company, Inc

2. 數理統計學(高等統計學)(大學難度)

a. Introduction to Mathematical Statistics /
Robert V. Hogg , Allen Craig, Joseph W. McKean / Pearson

b. Mathematical Statistics with Applications /
Dennis Wackerly, William Mendenhall, Richard L. Scheaffer /
Thomson Brooks

c. Statistical Inference / George Casella, Roger L. Berger / Duxbury Press

d. 數理統計 / 黃文璋 / 華泰

e. Introduction to the Theory of Statistics /
Alexander M. Mood, Franklin A. Graybill, Duane C. Boes / McGraw Hill

3. 數理統計學、統計推論(碩班以上難度)

a. Mathematical Statistics / Peter J. Bickel, Kjell A. Doksum / Pearson

b. Elements of Large-Sample Theory / E.L. Lehmann / Springer

c. Mathematical Statistics / Jun Shao / Springer (推薦考研究所讀)

d. Testing Statistical Hypotheses /
Erich L. Lehmann, Joseph P. Romano / Springer

e. Theory of Point Estimation / Erich L. Lehmann, George Casella / Springer

4. 機率論(碩班以下難度)

a. A First Course in Probability / Sheldon M. Ross / Academic Press

b. Introduction to Probability / Douglas G. Kelly / Pearson

c. Basic Probability Theory / Robert B. Ash / Academic Press
(已免費公開，http://www.math.uiuc.edu/~r-ash/BPT.html )

d. Counterexamples in Probability / Jordan M. Stoyano / Dover Publications
(提供不少有趣的反例，可以當作課外讀物!?)

5. 高等機率論(博士班以上難度)

a. A Course in Probability Theory / Kai Lai Chung / Academic Press

b. Probability And Measure / Patrick Billingsley / Wiley

c. Measure Theory Probability Theory /
Krishna B. Athreya, Soumendra N. Lahiri / springer

6. (廣義)線性模型 (目前先合併，之後再視情況拆開)

a. Linear Models / S. R. Searle / Wiley (碩班難度)

b. Generalized Linear Models / McCullagh and Nelder / Chapman & Hall
(碩班難度)

c. Introduction to econometrics / James H. Stock/Mark W. Watston / wiley
(偏重使用跟分析)

d. A primer on linear models / John F. Monahan / Chapman and Hall (碩班難度)

e. Linear Statistical Inference and its Applications /
C. Radhakrishna Rao / Wiley (碩班難度)

f. Linear Mixed Models for Longitudinal Data /
Geert Verbeke and Geert Molenberghs / Springer

g. A First Course in Linear Model Theory /
Nalini Ravishanker, Dipak K. Dey / Chapman and Hall

7. 無母數統計

a. All of Nonparametric Statistics / Larry Wasserman / Springer

b. Nonparametric Statistical Methods /
Myles Hollander, Douglas A. Wolfe, Eric Chicken / Wiley

c. 實用無母數統計方法 / 顏月珠 / 三民

8. 實驗設計

a. Design and Analysis of Experiments / Douglas C. Montgomery / Wiley

b. Designing Experiments and Analyzing Data /
Scott E. Maxwell, Harold D. Delaney / Routledge

c. Experiments: Planning, Analysis, and Optimization /
C. F. Jeff Wu, Michael S. Hamada / Wiley

9. 多變量分析

a. Applied Multivariate Statistical Analysis /
Richard A. Johnson, Dean W. Wichern / Pearson
(這本可能比較適合碩班)

b. 多變量分析方法：統計軟體應用 / 陳正昌、程炳林、陳新豐、劉子鍵 / 五南

10. 隨機過程

a. Introduction to Probability Models / Sheldon M. Ross / Academic Press

b. Stochastic Processes / Sheldon M. Ross / Academic Press

c. A First Course in Stochastic Processes /
Samuel Karlin, Howard M. Taylor / Academic Press

11. 存活分析/可靠度分析

a. Statistical Methods for Reliability Data / Meeker, Escobar / Wiley

b. Survival Analysis: Techniques for Censored and Truncated Data /
John P. Klein, Melvin L. Moeschberger / Springer

c. Survival Analysis / Rupert G. Miller Jr. / Wiley

d. The Statistical Analysis of Failure Time Data /
John D. Kalbfleisch, Ross L. Prentice / Wiley

e. Statistical Models and Methods for Lifetime Data /
Jerald F. Lawless / Wiley

12. functional data

a. Functional Data Analysis / James Ramsay, B. W. Silverman / springer

13. 抽樣調查

a. Elementary Survey Sampling / Richard L. Scheaffer,
William Mendenhall III, R. Lyman Ott, Kenneth G. Gerow /
Cengage Learning

b. Sampling / Steven K. Thompson / Wiley

14. 時間序列分析

a. Analysis of Financial Time Series / Ruey S. Tsay / Wiley

b. Time Series Analysis and Its Applications: With R Examples /
Robert H. Shumway, David S. Stoffer / springer

c. Time Series: Theory and Methods /
Peter J. Brockwell, Richard A. Davis / springer

15. 類別資料分析

a. An Introduction to Categorical Data Analysis / Alan Agresti / Wiley

b. Categorical Data Analysis / Alan Agresti / Wiley (碩班難度)

16. 貝氏統計

a. Statistical Decision Theory and Bayesian Analysis /
James O. Berger / Springer

17. 經驗貝氏統計 (empirical Bayes)

a. Large-Scale Inference: Empirical Bayes Methods for Estimation,
Testing, and Prediction / Bradley Efron / Cambridge University Press

b. Bayes and Empirical Bayes Methods for Data Analysis /
Bradley P. Carlin, Thomas A. Louis / Chapman and Hall / CRC

c. An Introduction to Empirical Bayes Data Analysis /
George Casella / American Statistical Association
(這是一篇導讀的review，想要了解empirical Bayes可以從這個開始)

17. 臨床試驗

18. 其他

a. 統計模擬：Simulation / Sheldon M. Ross / Academic Press

b. 資料採礦：The Elements of Statistical Learning /
Trevor Hastie, Robert Tibshirani, Jerome Friedman / springer
(已免費公開 http://statweb.stanford.edu/~tibs/ElemStatLearn/ )
(Robert Tibshirani就是那個提出lasso的教授)

c. 電腦試驗：The Design and Analysis of Computer Experiments /
Thomas J. Santner, Brian J. Williams, William I. Notz / springer

19. 線上課程

a. 交大統計學 https://goo.gl/ThQzwk https://goo.gl/NhPkzA

b. 交大高等統計學 https://goo.gl/aY3H24 https://goo.gl/GkmFQn

c. 交大回歸分析 https://goo.gl/7mSvdM

d. 交大多變量分析 https://goo.gl/HRhs9f

e. 台大統計學 https://goo.gl/utmQbN

f. 清大統計學 https://goo.gl/gVBNJ7

其他開放式課程可以上台灣開放式課程聯盟查詢：

http://www.tocwc.org.tw/cgi-bin/gs32/gsweb.cgi/ccd=HKTEYt/main?db=webmge


如果有需要幫忙納入類別的，麻煩推文告知

推文範例：推 celstialgod: 1. statistics for business and economics
推 celstialgod: / McClave / pearson

可以的話，麻煩一併附上作者，方便板友找尋該書，出版社有更好

另外，也歡迎加註，像是 3-b, 3-d, 3-e 都是天書

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我調到2好了~~那本是當初置底的，想說可能比較靠近一般統計學
※ 編輯: celestialgod (180.218.154.163), 10/05/2015 01:07:06

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※ 編輯: celestialgod (114.38.129.125), 02/23/2018 19:00:09