00814nam0-2200253 --450 991085469240332120240531130411.020240531d1973----kmuy0itay5050 bafreFRa 001yyBiodegradation et humificationrapport du 1. Colloque international, Nancy 1974Universite de Nancy, Laboratoire de botanique et de microbiologieGerard Kilbertus ... <et al.>[S.l.]Ed. Pierron>c1973496 p.ill.21 cmPedologia631.4723itaKilbertus,GerardITUNINAREICATUNIMARCBK9910854692403321A MIC 17077980/2024FAGBCFAGBCBiodegradation et humification4162103UNINA03614nam 22006495 450 991029996380332120200703230053.03-319-02744-110.1007/978-3-319-02744-9(CKB)2560000000148956(EBL)1697724(OCoLC)881165939(SSID)ssj0001204831(PQKBManifestationID)11687278(PQKBTitleCode)TC0001204831(PQKBWorkID)11180536(PQKB)10155338(MiAaPQ)EBC1697724(DE-He213)978-3-319-02744-9(PPN)178316342(EXLCZ)99256000000014895620140411d2014 u| 0engur|n|---|||||txtccrA Chronicle of Permutation Statistical Methods 1920–2000, and Beyond /by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (535 p.)Description based upon print version of record.3-319-02743-3 Includes bibliographical references and indexes.Preface -- 1.Introduction -- 2.1920–1939 -- 3.1940–1959 -- 4.1960–1979 -- 5.1980–2000 -- 6.Beyond 2000 -- Epilogue -- References -- Acronyms -- Name Index -- Subject Index.The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of classical statistical methods. Permutation methods have advantages over classical methods in that they are optimal for small data sets and non-random samples, are data-dependent, and are free of distributional assumptions. Permutation probability values may be exact, or estimated via moment- or resampling-approximation procedures. Because permutation methods are inherently computationally-intensive, the evolution of computers and computing technology that made modern permutation methods possible accompanies the historical narrative. Permutation analogs of many well-known statistical tests are presented in a historical context, including multiple correlation and regression, analysis of variance, contingency table analysis, and measures of association and agreement. A non-mathematical approach makes the text accessible to readers of all levels.StatisticsMathematicsHistoryStatistics, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/S0000XHistory of Mathematical Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M23009Statistics.Mathematics.History.Statistics, general.History of Mathematical Sciences.510.9519.5519.5/4519.54Berry Kenneth Jauthttp://id.loc.gov/vocabulary/relators/aut148872Johnston Janis Eauthttp://id.loc.gov/vocabulary/relators/autMielke Jr Paul Wauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299963803321A Chronicle of Permutation Statistical Methods2540397UNINA