Difference between revisions of "Booklist: probability and statistics"

Revision as of 08:53, 7 June 2014

Book list distilled from stats.stackexchange.com thread.

1. D. Huff, How to Lie with Statistics.
2. Mood, Graybill, and Boes, Introduction to the Theory of Statistics, 3rd ed., 1974.
3. Seber & Lee, Linear Regression Analysis, 2nd ed.
4. Hastie, Tibshirani, and Friedman, Elements of Statistical Learning, 2nd ed., 2009.
5. A. Agresti, Categorical Data Analysis, 2nd ed.
6. Boyd & Vandenberghe, Convex Optimization.
7. Efron & Tibshirani, An Introduction to the Bootstrap.
8. J. Liu, Monte Carlo Strategies in Scientific Computing or P. Glasserman, Monte Carlo Methods in Financial Engineering.
9. E. Tufte, The Visual Display of Quantitative Information.
10. J. Tukey, Exploratory Data Analysis.
11. F. A. Graybill, Theory and Application of the Linear Model.
12. F. A. Graybill, Matrices with Applications in Statistics.
13. Devroye, Gyorfi, and Lugosi, A Probabilistic Theory of Pattern Recognition.
14. Brockwell & Davis, Time Series: Theory and Methods.
15. Motwani and Raghavan, Randomized Algorithms.
16. D. Williams, Probability and Martingales
17. R. Durrett, Probability: Theory and Examples.
18. F. Harrell, Regression Modeling Strategies.
19. Lehman and Casella, Theory of Point Estimation.
20. Lehmann and Romano, Testing Statistical Hypotheses.
21. A. van der Vaart, Asymptotic Statistics.

Metadata

• Original author: User:Datacraftsnet