Nonparametric Statistical Methods Using R
by Kloke, John
A Practical Guide to Implementing Nonparametric and Rank-Based ProceduresNonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The a.
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- Full title :Nonparametric Statistical Methods Using R / Kloke, John.
Summary
A Practical Guide to Implementing Nonparametric and Rank-Based ProceduresNonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The a.
Read More ↓Edition Statements
- Publication Date:2014.
- Edition:1st edition
Publication Statements
- Publisher(s):Chapman and Hall/CRC
- Language:eng
- Publication Date:2014.
The Physical Object
- Description:1 online resource (287 pages)
Edition Identifiers
- ISBN:9781439873441, 1439873445
- oclc:on1113481687
- LC Classification:QA278.8 ǂb .K56 2015eb
- Dewey Decimal:519.54
Table of Contents
Front Cover -- Dedication -- Contents -- Preface -- Chapter 1 -- Getting Started with R -- Chapter 2 -- Basic Statistics -- Chapter 3 -- Two-Sample Problems -- Chapter 4 -- Regression I -- Chapter 5 -- ANOVA and ANCOVA -- Chapter 6 -- Time to Event Analysis -- Chapter 7 -- Regression II -- Chapter 8 -- Cluster Correlated Data -- Bibliography -- Back Cover.
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