TY - BOOK
AU - Wasserman,Larry
TI - All of Statistics: A Concise Course in Statistical Inference-with 95 Figures
T2 - Springer texts in statistics
SN - 9780387402727
U1 - 519.5
PY - 2004///
CY - New York
PB - Springer,
KW - Mathematical statistics
N1 - Bibliography & index; I. Probability --
1. Probability --
2. Random Variables --
3. Expectation --
4. Inequalities --
5. Convergence of Random Variables --
II. Statistical Inference --
6. Models, Statistical Inference and Learning --
7. Estimating the CDF and Statistical Functionals --
8. The Bootstrap --
9. Parametric Inference --
10. Hypothesis Testing and p-values --
11. Bayesian Inference --
12. Statistical Decision Theory --
III. Statistical Models and Methods --
13. Linear and Logistic Regression --
14. Multivariate Models --
15. Inference About Independence --
16. Causal Inference --
17. Directed Graphs and Conditional Independence --
18. Undirected Graphs --
19. Log-Linear Models --
20. Nonparametric Curve Estimation --
21. Smoothing Using Orthogonal Functions --
22. Classification --
23. Probability Redux: Stochastic Processes --
24. Simulation Methods
N2 -
"This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining, and machine learning." "This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate levels."--Jacket
ER -