View source for Booklist: probability and statistics

Book list distilled from [http://stats.stackexchange.com/questions/6538/mathematician-wants-the-equivalent-knowledge-to-a-quality-stats-degree stats.stackexchange.com thread].

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

== Metadata ==

* Original author: [[User:Datacraftsnet]]

[[Category:BookList]]