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000934760 020__ $$z9781631575501$$qpaperback
000934760 020__ $$a9781631575518$$q(electronic bk.)
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000934760 050_4 $$aQA278.8$$b.N2462 2016
000934760 0820_ $$a519.5$$223
000934760 1001_ $$aNaghshpour, Shahdad.,$$eauthor.
000934760 24512 $$aA primer on nonparametric analysis.$$nVolume II /$$cShahdad Naghshpour.
000934760 250__ $$aFirst edition.
000934760 264_1 $$aNew York, New York (222 East 46th Street, New York, NY 10017) :$$bBusiness Expert Press,$$c2016.
000934760 300__ $$a1 online resource (85 pages)
000934760 336__ $$atext$$2rdacontent
000934760 337__ $$acomputer$$2rdamedia
000934760 338__ $$aonline resource$$2rdacarrier
000934760 4901_ $$aEconomics collection,$$x2163-7628
000934760 500__ $$aIncludes index.
000934760 5050_ $$aSection I. K related samples -- 1. Three or more related populations: one-way analysis of variance -- 2. K unrelated samples tests -- Section II. Measures of association -- 3. Correlation coefficient -- Index.
000934760 506__ $$aAccess limited to authorized users.
000934760 5203_ $$aNonparametric statistics provide a scientific methodology for cases where customary statistics are not applicable. Nonparametric statistics are used when the requirements for parametric analysis fail, such as when data are not normally distributed or the sample size is too small. The method provides an alternative for such cases and is often nearly as powerful as parametric statistics. Another advantage of nonparametric statistics is that it offers analytical methods that are not available otherwise. In social sciences, often, it is not possible to obtain measurements, which renders customary analysis impossible. For example, it is not possible to measure utility but is possible to rank preference, which is based on the unmeasurable utility. Nonparametric methods provide theoretically valid options for analysis, making the use of unscientific methods unnecessary. Nonparametric methods are intuitive and simple to comprehend, which helps researchers in the social sciences understand the methods in spite of lacking mathematical rigor needed in analytical methods customarily used in science. The only prerequisite for this book is high school level elementary algebra. This book is a methodology book and bypasses theoretical proofs while providing comprehensive explanations of the logic behind the methods and ample examples, which are all solved using direct computations as well as by using Stata. The book is arranged into two integrated volumes. Although each volume, and for that matter each chapter, can be used separately, it is advisable to read as much of both volumes as possible; because familiarity with what is applicable for different problems will enhance capabilities. It is recommended that everyone read the Introduction and Chapter 1 because determining whether data are random or normally distributed is essential in the selection of parametric versus nonparametric methods.
000934760 588__ $$aTitle from PDF title page (viewed on August 29, 2016).
000934760 650_0 $$aNonparametric statistics.
000934760 653__ $$aNonparametric statistics
000934760 653__ $$amedian
000934760 653__ $$aorder statistics
000934760 653__ $$arank
000934760 653__ $$aone sample
000934760 653__ $$atwo samples
000934760 653__ $$aseveral samples
000934760 653__ $$amultiple comparison
000934760 653__ $$anormality
000934760 653__ $$askewness
000934760 655_0 $$aElectronic books
000934760 77608 $$iPrint version:$$z9781631575501
000934760 830_0 $$aEconomics collection.$$x2163-7628
000934760 852__ $$bebk
000934760 85640 $$3ProQuest Ebook Central Academic Complete $$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=4648714$$zOnline Access
000934760 909CO $$ooai:library.usi.edu:934760$$pGLOBAL_SET
000934760 980__ $$aBIB
000934760 980__ $$aEBOOK
000934760 982__ $$aEbook
000934760 983__ $$aOnline