01097nam a22002651i 450099100094073970753620021107115034.0021107s1973 it |||||||||||||||||ita b12077082-39ule_instARCHE-016688ExLDip.to Filologia Ling. e Lett.itaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.414Muljacic, Zarko175518Fonologia della lingua italiana /Zarko MuljacicBologna :Il mulino,[1973]326 p. ;21 cmLa nuova scienza.Serie di linguistica e critica letterariaFonetica.b1207708202-04-1401-04-03991000940739707536LE008 FL.M. (f.r.) 52 bis/212008000497132le008-E0.00-l- 00000.i1237524x01-04-03LE008 FL.M. (f.r.) VII 52 bis/122008000497149le008-E0.00-l- 00000.i1237525101-04-03Fonologia della lingua italiana137795UNISALENTOle00801-04-03ma -itait 0203922nam 2200637 450 991079868520332120230125200059.01-63157-551-1(CKB)3710000000831060(BEP)4648714(OCoLC)957560388(CaBNVSL)swl00406797(Au-PeEL)EBL4648714(CaPaEBR)ebr11249678(CaONFJC)MIL949216(OCoLC)957318032(CaSebORM)9781631575518(MiAaPQ)EBC4648714(EXLCZ)99371000000083106020160829d2016 fy 0engurcnu||||||||rdacontentrdamediardacarrierA primer on nonparametric analysisVolume II /Shahdad NaghshpourFirst edition.New York, New York (222 East 46th Street, New York, NY 10017) :Business Expert Press,2016.1 online resource (85 pages)Economics collection,2163-7628Includes index.1-63157-550-3 Section 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.Nonparametric 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.Economics collection.2163-7628Nonparametric statisticsNonparametric statisticsmedianorder statisticsrankone sampletwo samplesseveral samplesmultiple comparisonnormalityskewnessNonparametric statistics.519.5Naghshpour Shahdad.890738MiAaPQMiAaPQMiAaPQBOOK9910798685203321A primer on nonparametric analysis3730749UNINA