Nonparametric Statistical Methods Using R:

Getting Started with R R Basics Reading External DataGenerating Random Data Graphics Repeating Tasks User-Defined Functions Monte Carlo Simulation R Packages Basic Statistics Sign Test Signed-Rank Wilcoxon Bootstrap RobustnessOne- and Two-Sample Proportion Problems χ2 TestsTwo-Sample Problems Introd...

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Bibliographic Details
Main Author: Kloke, John (Author)
Format: Electronic eBook
Language:English
Published: Philadelphia, PA CRC Press 2014
Series:Chapman & Hall/CRC The R Series v.25
Subjects:
Online Access:UER01
Summary:Getting Started with R R Basics Reading External DataGenerating Random Data Graphics Repeating Tasks User-Defined Functions Monte Carlo Simulation R Packages Basic Statistics Sign Test Signed-Rank Wilcoxon Bootstrap RobustnessOne- and Two-Sample Proportion Problems χ2 TestsTwo-Sample Problems Introductory Example Rank-Based Analyses Scale Problem Placement Test for the Behrens-Fisher Problem Efficiency and Optimal ScoresAdaptive Rank Scores Tests Regression I Simple Linear Regression Multiple Linear Regression Linear ModelsAligned Rank TestsBootstrap Nonparametric Regression Correlation ANOVA and ANCOVA One-Way ANOVA Multi-Way Crossed Factorial Design ANCOVAMethodology for Type III Hypotheses TestingOrdered Alternatives Multi-Sample Scale Problem Time-to-Event Analysis Kaplan-Meier and Log Rank Test Cox Proportional Hazards Models Accelerated Failure Time Models Regression II Robust Diagnostics Weighted Regression Linear Models with Skew Normal Errors A Hogg-Type Adaptive Procedure Nonlinear Time Series Cluster Correlated Data Friedman's Test Joint Rankings Estimator Robust Variance Component Estimators Multiple Rankings Estimator GEE-Type Estimator BibliographyIndex Exercises appear at the end of each chapter
Item Description:Description based on publisher supplied metadata and other sources
Physical Description:1 online resource (283 pages)
ISBN:9781439873441
9781439873434

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