All of Statistics - A Concise Course in Statistical Inference

All of Statistics - A Concise Course in Statistical Inference_Larry Wasserman (Springer 2004  errata 465s)......Page 1
Preface......Page 4
Statistics/Data Mining Dictionary......Page 8
Contents......Page 10
Part I Probability......Page 18
1 Probability......Page 20
2 Random Variables......Page 36
3 Expectation......Page 64
4 Inequalities......Page 80
5 Convergence of Random Variables......Page 88
Part II Statistical Inference......Page 102
6 Models, Statistical Inference and Learning......Page 104
7 Estimating the cdf and Statistical Functionals......Page 114
8 The Bootstrap......Page 124
9 Parametric Inference......Page 136
10 Hypothesis Testing and p-values......Page 166
11 Bayesian Inference......Page 192
12 Statistical Decision Theory......Page 210
Part III Statistical Models and Methods......Page 224
13 Linear and Logistic Regression......Page 226
14 Multivariate Models......Page 248
15 Inference About Independence......Page 256
16 Causal Inference......Page 268
17 Directed Graphs and Conditional Independence......Page 280
18 Undirected Graphs......Page 298
19 Log-Linear Models......Page 308
20 Nonparametric Curve Estimation......Page 320
21 Smoothing Using Orthogonal Functions......Page 344
22 Classification......Page 366
23 Probability Redux: Stochastic Processes......Page 398
24 Simulation Methods......Page 420
Bibliography......Page 440
List of Symbols......Page 448
Index......Page 451
ERRATA for All of Statistics......Page 460
ERRATA for All of Statistics Second Printing......Page 464
Index of /~larry/all-of-statistics/=Rprograms......Page 466
cmu.edu......Page 0
http://www.stat.cmu.edu/~larry/all-of-statistics/=Rprograms/Example15.5.r......Page 470
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