01131nam0 22002771i 450 UON0023450620231205103518.6788-400-0605-220030730d2000 |0itac50 baitaIT|||| |||||ˆLa ‰cultura del totalitarismo imperfettoIl Dizionario di Politica del Partito nazionale fascista (1940)Alessia Pedio MilanoUnicopli2000290 p.21 cm.001UON001773142001 Biblioteca di Storia Contemporanea210 MilanoUnicopli19..- - v. ; cm2FASCISMOIdeologiaUONC037839FIITMilanoUONL000005PEDIOAlessiaUONV142083145019UnicopliUONV246682650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00234506SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI III STORIAEUR D C 1094 SI SC 38049 5 1094 Cultura del totalitarismo imperfetto507604UNIOR03256nam 22005775 450 991033246120332120250505003420.03-030-02914-X10.1007/978-3-030-02914-2(CKB)4100000008707648(MiAaPQ)EBC5830016(DE-He213)978-3-030-02914-2(PPN)238488845(EXLCZ)99410000000870764820190715d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierRank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs Using R and SAS /by Edgar Brunner, Arne C. Bathke, Frank Konietschke1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (535 pages)Springer Series in Statistics,2197-568X3-030-02912-3 Includes bibliographical references and index.1 Types of Data and Designs -- 2 Distributions and Effects -- 3 Two Samples -- 4 Several Samples -- 5 Two-Factor Crossed Designs -- 6 Designs with Three and More Factors -- 7 Derivation of Main Results -- 8 Mathematical Techniques -- References -- A Software and Program Code -- B Data Sets and Descriptions -- Index. .This book explains how to analyze independent data from factorial designs without having to make restrictive assumptions, such as normality of the data, or equal variances. The general approach also allows for ordinal and even dichotomous data. The underlying effect size is the nonparametric relative effect, which has a simple and intuitive probability interpretation. The data analysis is presented as comprehensively as possible, including appropriate descriptive statistics which follow a nonparametric paradigm, as well as corresponding inferential methods using hypothesis tests and confidence intervals based on pseudo-ranks. Offering clear explanations, an overview of the modern rank- and pseudo-rank-based inference methodology and numerous illustrations with real data examples, as well as the necessary R/SAS code to run the statistical analyses, this book is a valuable resource for statisticians and practitioners alike. .Springer Series in Statistics,2197-568XBiometryPharmaceutical chemistryStatisticsBiostatisticsPharmaceuticsStatistical Theory and MethodsBiometry.Pharmaceutical chemistry.Statistics.Biostatistics.Pharmaceutics.Statistical Theory and Methods.610.727519.5Brunner Edgarauthttp://id.loc.gov/vocabulary/relators/aut768327Bathke Arne Cauthttp://id.loc.gov/vocabulary/relators/autKonietschke Frankauthttp://id.loc.gov/vocabulary/relators/autBOOK9910332461203321Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs1923077UNINA