Research Catalog

All of statistics : a concise course in statistical inference

Title
All of statistics : a concise course in statistical inference / Larry Wasserman.
Author
Wasserman, Larry, 1959-
Publication
New York : Springer, [2004], ©2004.

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TextRequest in advance QA276.12 .W37 2003Off-site

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Details

Description
xix, 442 pages : illustrations; 25 cm.
Summary
"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."--BOOK JACKET.
Series Statement
Springer texts in statistics
Uniform Title
Springer texts in statistics.
Subjects
Bibliography (note)
  • Includes bibliographical references (p. [423]-430) and index.
Contents
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.
ISBN
0387402721 (acid-free paper)
LCCN
2003062209
OCLC
  • ocm52901588
  • SCSB-8956691
Owning Institutions
Columbia University Libraries