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000934759 020__ $$z9781631574450$$qpaperback
000934759 020__ $$a9781631574467$$q(electronic bk.)
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000934759 035__ $$a(OCoLC)957588810
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000934759 050_4 $$aQA278.8$$b.N246 2016
000934759 0820_ $$a519.5$$223
000934759 1001_ $$aNaghshpour, Shahdad.,$$eauthor.
000934759 24512 $$aA primer on nonparametric analysis.$$nVolume I /$$cShahdad Naghshpour.
000934759 250__ $$aFirst edition.
000934759 264_1 $$aNew York, New York (222 East 46th Street, New York, NY 10017) :$$bBusiness Expert Press,$$c2016.
000934759 300__ $$a1 online resource (xxvii, 120 pages)
000934759 336__ $$atext$$2rdacontent
000934759 337__ $$acomputer$$2rdamedia
000934759 338__ $$aonline resource$$2rdacarrier
000934759 4901_ $$aEconomics collection,$$x2163-7628
000934759 500__ $$aIncludes index.
000934759 5050_ $$aSection I. One-sample tests -- 1. Goodness of fit tests -- 2. Randomness tests -- 3. One-sample location inference -- Section II. One-sample tests -- 4. Comparing two unrelated samples: the Mann-Whitney U test -- 5. Goodness of fit for two samples -- Index.
000934759 506__ $$aAccess limited to authorized users.
000934759 5203_ $$aNonparametric statistics provide a scientific methodology for cases where customary statistics are not applicable. Nonparametric statistics are used when the requirements for parametric analysis fail, such as when data are not normally distributed or the sample size is too small. The method provides an alternative for such cases and is often nearly as powerful as parametric statistics. Another advantage of nonparametric statistics is that it offers analytical methods that are not available otherwise. In social sciences, often, it is not possible to obtain measurements, which renders customary analysis impossible. For example, it is not possible to measure utility but is possible to rank preference, which is based on the unmeasurable utility. Nonparametric methods provide theoretically valid options for analysis, making the use of unscientific methods unnecessary. Nonparametric methods are intuitive and simple to comprehend, which helps researchers in the social sciences understand the methods in spite of lacking mathematical rigor needed in analytical methods customarily used in science. The only prerequisite for this book is high school level elementary algebra. This book is a methodology book and bypasses theoretical proofs while providing comprehensive explanations of the logic behind the methods and ample examples, which are all solved using direct computations as well as by using Stata. The book is arranged into two integrated volumes. Although each volume, and for that matter each chapter, can be used separately, it is advisable to read as much of both volumes as possible; because familiarity with what is applicable for different problems will enhance capabilities. It is recommended that everyone read the Introduction and Chapter 1 because determining whether data are random or normally distributed is essential in the selection of parametric versus nonparametric methods.
000934759 588__ $$aTitle from PDF title page (viewed on August 29, 2016).
000934759 650_0 $$aNonparametric statistics.
000934759 653__ $$aNonparametric statistics
000934759 653__ $$amedian
000934759 653__ $$aorder statistics
000934759 653__ $$arank
000934759 653__ $$aone sample
000934759 653__ $$atwo samples
000934759 653__ $$aseveral samples
000934759 653__ $$amultiple comparison
000934759 653__ $$anormality
000934759 653__ $$askewness
000934759 655_0 $$aElectronic books
000934759 77608 $$iPrint version:$$z9781631574450
000934759 830_0 $$aEconomics collection.$$x2163-7628
000934759 852__ $$bebk
000934759 85640 $$3ProQuest Ebook Central Academic Complete $$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=4648712$$zOnline Access
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000934759 980__ $$aBIB
000934759 980__ $$aEBOOK
000934759 982__ $$aEbook
000934759 983__ $$aOnline