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■020 ▼z9781439873434▼q(hardcover)
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■1001 ▼aKloke, John▼eauthor.
■24510▼aNonparametric statistical methods using R▼dJohn Kloke, Joseph W. McKean
■264 1▼aBoca Raton, Florida▼bCRC Press▼c[2014]
■264 4▼c©2015
■300 ▼a1 online resource (xv, 271 pages) ▼billustrations.
■336 ▼atext▼btxt▼2rdacontent
■337 ▼acomputer▼bc▼2rdamedia
■338 ▼aonline resource▼bcr▼2rdacarrier
■4901 ▼aChapman & Hall/CRC the R series
■504 ▼aIncludes bibliographical references and index.
■5050 ▼aFront 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.
■520 ▼aA 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 authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm. The book first gives an overview of the R language and basic statistical c.
■5880 ▼aPrint version record.
■590 ▼aeBooks on EBSCOhost▼bAll EBSCO eBooks
■650 0▼aNonparametric statistics
■650 0▼aR (Computer program language)
■650 7▼aMATHEMATICS▼xApplied.▼2bisacsh
■650 7▼aMATHEMATICS▼xProbability & Statistics▼xGeneral.▼2bisacsh
■650 7▼aNonparametric statistics.▼2fast▼0(OCoLC)fst01038853
■650 7▼aR (Computer program language)▼2fast▼0(OCoLC)fst01086207
■650 7▼aNichtparametrisches Verfahren▼2gnd
■650 7▼aStatistik▼2gnd
■650 7▼aR▼gProgramm▼2gnd
■655 4▼aElectronic books.
■7001 ▼aMcKean, Joseph W.▼d1944-▼eauthor.
■77608▼iPrint version▼aKloke, John.▼tNonparametric statistical methods using R.▼dBoca Raton, FL : CRC Press, [2015]▼z9781439873434▼w(DLC) 2014033358▼w(OCoLC)701015593
■830 0▼aChapman & Hall/CRC the R series (CRC Press)
■85640▼uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=861996
■880 ▼6520-00▼aGetting 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.
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■938 ▼aCRC Press▼bCRCP▼nCAH0KE13525PDF
■938 ▼aEBL - Ebook Library▼bEBLB▼nEBL1407959
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