Applied Nonparametric Statistical Methods

Applied Nonparametric Statistical Methods

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This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand "Applied Nonparametric Statistical Methods" to reflect changing attitudes towards applied statistics, new developments, and the impact of more widely available and better statistical software. The book takes into account computing developments since the publication of the popular second edition, rearranging the material in a more logical order, and introducing new topics.It emphasizes better use of significance tests and focuses greater attention on medical and dental applications. "Applied Nonparametric Statistical Methods: Third Edition" explains the rationale of procedures with a minimum of mathematical detail, making it not only an outstanding textbook, but also an up-to-date reference for professionals who do their own statistical analyses. New in the third edition: expanded coverage of topics - such as ethical considerations and calculation of power and of sample sizes needed; refers to a wide variety of statistical packages - such as StatXact, Minitab, Testimate, S-plus, Stata, and SPSS; and, includes sections on the analysis of angular data, the use of capture-recapture methods, the measurement of agreement between observers, runs tests, and regression more

Product details

  • Hardback | 480 pages
  • 157 x 235.2 x 26.2mm | 1,801.48g
  • Taylor & Francis Inc
  • CRC Press Inc
  • Bosa Roca, United States
  • English
  • New edition
  • 3rd edition
  • 64 black & white tables
  • 1584881453
  • 9781584881452

Table of contents

PREFACEINTRODUCING NONPARAMETRIC METHODSBasic StatisticsSamples and PopulationsHypothesis TestsEstimationEthical IssuesComputers and Nonparametric MethodsFurther ReadingCENTRALITY INFERENCE FOR SINGLE SAMPLESUsing Measurement DataInferences about Medians Based on RanksThe Sign TestTransformation of RanksAsymptotic ResultsRobustnessOTHER SINGLE-SAMPLE INFERENCEInferences for Dichotomous DataTests Related to the Sign TestMatching Samples to DistributionsAngular DataA Runs Test for RandomnessMETHODS FOR PAIRED SAMPLESComparisons in PairsA Less Obvious Use of the Sign TestPower and Sample SizeMETHODS FOR TWO INDEPENDENT SAMPLESCentrality Tests and EstimatesRank Based TestsThe Median TestNormal ScoresTests for Survival DataAsymptotic ApproximationPower and Sample SizeTests for Equality of VarianceTests for a Common DistributionTHREE OR MORE SAMPLESComparisons with Parametric MethodsCentrality Tests for Independent SamplesCentrality Tests for Related SamplesMore Detailed Treatment ComparisonsTests for Heterogeneity of VarianceSome MiscellaneousConsiderationsCORRELATION AND CONCORDANCECorrelation and Bivariate DataRanked Data for Several VariablesAgreementREGRESSIONBivariate Linear RegressionMultiple RegressionNonparametric Regression ModelsOther Multivariate Data ProblemsCATEGORICAL DATACategories and CountsNominal Attribute CategoriesOrdered Categorical DataGoodness-of-Fit Tests for Discrete DataExtension of McNemar'sTestASSOCIATION IN CATEGORICAL DATAThe Analysis of AssociationSome Models for Contingency TablesCombining and Partitioning of TablesPowerROBUST ESTIMATIONWhen Assumptions Break DownOutliers and InfluenceThe BootstrapM-Estimators and Other Robust EstimatorsAPPENDIXREFERENCESSOLUTIONS TO ODD-NUMBERED EXERCISESINDEXEach chapter also includes Fields of Application, Summary, and Exercisesshow more

Review quote

"Strengths of this text certainly include its organization and writing style. Applied Nonparametric Statistical Methods provides a very clear exposition of modern nonparametric methods. Many students and practitioners will find it an excellent resource and reference for nonparametric statistics." -Technometrics, 2003" extremely valuable for statisticians as well as for researchers in applied fields. This well-written book is highly recommended for those readers who want to get a feeling for the nonparametric methods which they apply when analysing their data." - Statistics in Medicine, 2004 About the Second Edition "Nicely laid out for practitioners with minimal theory, very deliberate explanations, and lots of illustrations." -Technometrics "This is the third edition of a very good book on nonparametric statisticsgoes far beyond being a compendium of useful methods. It aims at promoting understanding as well. Good statistical practice is exemplified throughout Particularly commendable are their discussions of multiple comparisons and conditioning in the two by two contingency table If I could only have one book on nonparametric methods, this would be my choice. It is highly recommended." -Short Book Reviews of the ISI, Vol. 21, No. 2, August, 2001show more

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