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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1. Verfasser: Kloke, John (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Philadelphia, PA CRC Press 2014
Schriftenreihe:Chapman & Hall/CRC The R Series v.25
Schlagworte:
Online-Zugang:UER01
Zusammenfassung: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
Beschreibung:Description based on publisher supplied metadata and other sources
Beschreibung:1 online resource (283 pages)
ISBN:9781439873441
9781439873434

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