Format:
1 Online-Ressource (xix, 442 pages)
ISBN:
0387217363
,
9780387217369
Series Statement:
Springer texts in statistics
Content:
Probability -- Random Variables -- Expectation -- Inequalities -- Convergence of Random Variables -- Models, Statistical Inference and Learning -- Estimating the CDF and Statistical Functionals -- The Bootstrap -- Parametric Inference -- Hypothesis Testing and p-values -- Bayesian Inference -- Statistical Decision Theory -- Linear and Logistic Regression -- Multivariate Models -- Inference about Independence -- Causal Inference -- Directed Graphs and Conditional Independence -- Undirected Graphs -- Loglinear Models -- Nonparametric Curve Estimation -- Smoothing Using Orthogonal Functions -- Classification -- Probability Redux: Stochastic Processes -- Simulation Methods.
Content:
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 level. Larry Wasserman is Professor of Statistics at Carnegie Mellon University. He is also a member of the Center for Automated Learning and Discovery in the School of Computer Science. His research areas include nonparametric inference, asymptotic theory, causality, and applications to astrophysics, bioinformatics, and genetics. He is the 1999 winner of the Committee of Presidents of Statistical Societies Presidents' Award and the 2002 winner of the Centre de recherches mathematiques de MontrealStatistical Society of Canada Prize in Statistics. He is Associate Editor of The Journal of the American Statistical Association and The Annals of Statistics. He is a fellow of the American Statistical Association and of the Institute of Mathematical Statistics.
Note:
Includes bibliographical references (pages 423-430) and index
,
English
Additional Edition:
ISBN 9781441923226
Additional Edition:
ISBN 1441923225
Additional Edition:
ISBN 6610189668
Additional Edition:
ISBN 9786610189663
Additional Edition:
ISBN 1280189665
Additional Edition:
ISBN 9781280189661
Additional Edition:
ISBN 0387402721
Additional Edition:
ISBN 9780387402727
Additional Edition:
Erscheint auch als Druck-Ausgabe Wasserman, Larry, 1959- All of statistics New York : Springer, ©2004
Additional Edition:
Erscheint auch als Druck-Ausgabe Wasserman, Larry, 1959 - All of statistics New York : Springer, 2010 ISBN 9781441923226
Language:
English
Subjects:
Economics
,
Mathematics
Keywords:
Statistik
;
Electronic books
;
Lehrbuch
;
Einführung
Author information:
Wasserman, Larry 1959-
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