Resampling methods : a practical guide to data analysis / Phillip I. Good.
By: Good, Phillip I
Material type: 
TextLanguage: English Publisher: Boston : Birkhäuser, c2006Edition: 3rd edDescription: xvi, 218 p. : ill. ; 24 cmISBN: 0817643869 (acidfree paper); 9780817643867Subject(s): Resampling (Statistics)DDC classification: 519.54 LOC classification: QA278.8 | .G66 2006Online resources: Publisher description | WorldCat details | Ebook Fulltext | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
E-Book
|
EWU Library E-book | Non-fiction | 519.54 GOR 2006 (Browse shelf) | Not for loan | ||||
Text
|
EWU Library Reserve Section | Non-fiction | 519.54 GOR 2006 (Browse shelf) | C-1 | Not For Loan | 26615 |
Browsing EWU Library shelves, Shelving location: E-book Close shelf browser
|
|
|
|
|
|
|
||
| 519.538 FAM 2001 Multivariate statistical modelling based on generalized linear models / | 519.538 FRE 2011 Exploratory multivariate analysis by example using R / | 519.538 SAA 2000 The analysis of variance : | 519.54 GOR 2006 Resampling methods : | 519.54 RAM 2012 Multilevel and longitudinal modeling using Stata / | 519.54 SIS 2003 Statistical inference / | 519.54 SPA 2007 Applied nonparametric statistical methods / |
Includes bibliographical references (p. [195]-207) and indexes.
Table of contents Preface to the Third Edition Preface to the Second Edition Preface to the First Edition Which Chapter Should I Read? Software for Resampling Estimating Population Parameters Comparing Two Populations Choosing the Best Procedure Experimental Design and Analysis Categorical Data Multiple Variables and Multiple Hypotheses Model Building Decision Trees Answers to Selected Exercises Bibliography Glossary Author Index Subject Index
A practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.
Applied Statistics
There are no comments for this item.