| LDR | | 05048cmm u2200769Ii 4500 |
| 001 | | 000000309249 |
| 003 | | OCoLC |
| 005 | | 20230525133647 |
| 006 | | m o d |
| 007 | | cr mn||||||||| |
| 008 | | 141016t20142015flua ob 001 0 eng d |
| 019 | |
▼a 897069475 |
| 020 | |
▼a 9781439873441
▼q (electronic bk.) |
| 020 | |
▼a 1439873445
▼q (electronic bk.) |
| 020 | |
▼z 9781439873434
▼q (hardcover) |
| 020 | |
▼z 1439873437
▼q (hardcover) |
| 029 | 1 |
▼a CHBIS
▼b 010258869 |
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▼a DEBBG
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▼a DEBSZ
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| 035 | |
▼a (OCoLC)893680458
▼z (OCoLC)897069475 |
| 040 | |
▼a E7B
▼b eng
▼e rda
▼e pn
▼c E7B
▼d OCLCO
▼d N$T
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▼d CHVBK
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▼d DEBSZ
▼d OCLCQ
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▼d IDB
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▼d OCLCO
▼d YUS
▼d DEBBG
▼d 248032 |
| 049 | |
▼a MAIN |
| 050 | 4 |
▼a QA278.8
▼b .K56 2015eb |
| 066 | |
▼c (S |
| 072 | 7 |
▼a MAT
▼x 003000
▼2 bisacsh |
| 072 | 7 |
▼a MAT
▼x 029000
▼2 bisacsh |
| 082 | 04 |
▼a 519.5/4
▼2 23 |
| 100 | 1 |
▼a Kloke, John,
▼e author. |
| 245 | 10 |
▼a Nonparametric statistical methods using R /
▼c John Kloke, Joseph W. McKean. |
| 264 | 1 |
▼a Boca Raton, Florida :
▼b CRC Press,
▼c [2014] |
| 264 | 4 |
▼c 짤2015 |
| 300 | |
▼a 1 online resource (xv, 271 pages) :
▼b illustrations. |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 490 | 1 |
▼a Chapman & Hall/CRC the R series |
| 504 | |
▼a Includes bibliographical references and index. |
| 505 | 0 |
▼a 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. |
| 520 | |
▼a 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 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. |
| 588 | 0 |
▼a Print version record. |
| 590 | |
▼a eBooks on EBSCOhost
▼b All EBSCO eBooks |
| 650 | 0 |
▼a Nonparametric statistics. |
| 650 | 0 |
▼a R (Computer program language) |
| 650 | 7 |
▼a MATHEMATICS
▼x Applied.
▼2 bisacsh |
| 650 | 7 |
▼a MATHEMATICS
▼x Probability & Statistics
▼x General.
▼2 bisacsh |
| 650 | 7 |
▼a Nonparametric statistics.
▼2 fast
▼0 (OCoLC)fst01038853 |
| 650 | 7 |
▼a R (Computer program language)
▼2 fast
▼0 (OCoLC)fst01086207 |
| 650 | 7 |
▼a Nichtparametrisches Verfahren
▼2 gnd |
| 650 | 7 |
▼a Statistik
▼2 gnd |
| 650 | 7 |
▼a R
▼g Programm
▼2 gnd |
| 655 | 4 |
▼a Electronic books. |
| 700 | 1 |
▼a McKean, Joseph W.,
▼d 1944-,
▼e author. |
| 776 | 08 |
▼i Print version:
▼a Kloke, John.
▼t Nonparametric statistical methods using R.
▼d Boca Raton, FL : CRC Press, [2015]
▼z 9781439873434
▼w (DLC) 2014033358
▼w (OCoLC)701015593 |
| 830 | 0 |
▼a Chapman & Hall/CRC the R series (CRC Press) |
| 856 | 40 |
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=861996 |
| 880 | |
▼6 520-00
▼a 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 ?2 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. |
| 938 | |
▼a Coutts Information Services
▼b COUT
▼n 30547022 |
| 938 | |
▼a CRC Press
▼b CRCP
▼n CAH0KE13525PDF |
| 938 | |
▼a EBL - Ebook Library
▼b EBLB
▼n EBL1407959 |
| 938 | |
▼a ebrary
▼b EBRY
▼n ebr10949643 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 861996 |
| 990 | |
▼a 관리자 |