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The Resource All of statistics : a concise course in statistical inference, Larry Wasserman

All of statistics : a concise course in statistical inference, Larry Wasserman

Label
All of statistics : a concise course in statistical inference
Title
All of statistics
Title remainder
a concise course in statistical inference
Statement of responsibility
Larry Wasserman
Creator
Subject
Language
eng
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."--Jacket
Member of
Cataloging source
DLC
http://library.link/vocab/creatorDate
1959-
http://library.link/vocab/creatorName
Wasserman, Larry
Dewey number
519.5
Illustrations
illustrations
Index
index present
LC call number
QA276.12
LC item number
.W37 2004
Literary form
non fiction
Nature of contents
bibliography
Series statement
Springer texts in statistics
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Statistics as Topic
Label
All of statistics : a concise course in statistical inference, Larry Wasserman
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages [423]-430) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
52901588
Dimensions
25 cm
Extent
xix, 442 pages
Isbn
9780387402727
Isbn Type
(alk. paper)
Lccn
2003062209
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Label
All of statistics : a concise course in statistical inference, Larry Wasserman
Publication
Bibliography note
Includes bibliographical references (pages [423]-430) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
52901588
Dimensions
25 cm
Extent
xix, 442 pages
Isbn
9780387402727
Isbn Type
(alk. paper)
Lccn
2003062209
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations

Library Locations

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      38.944491 -92.326012
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