LEADER 00927nam0-2200241 --450 001 9910170457703321 005 20170609112919.0 100 $a20170510d1973----kmuy0itay5050 ba 101 $aita 102 $aIT 105 $a 001yy 200 1 $aProgramma di sviluppo economico e sociale del Friuli-Venezia Giulia per il quinquennio 1971-1975$eapprovato dal Consiglio Regionale nella seduta del 19 aprile 1973$fRegione autonoma Friuli-Venezia Giulia 210 $a[S.l.$cs.n.$d1973?]$eTrieste$gLa editoriale libraria 215 $a297 p.$d31 cm. 710 02$aFriuli-Venezia Giulia$c$4070$0125828 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910170457703321 952 $aINU C 249$b1185$fFARBC 952 $aINU C 248$b1184$fFARBC 959 $aFARBC 996 $aProgramma di sviluppo economico e sociale del Friuli-Venezia Giulia per il quinquennio 1971-1975$91466767 997 $aUNINA LEADER 03933oam 2200457I 450 001 9911019984103321 005 20230629234213.0 010 $a9781119549819 010 $a1119549817 010 $a9781119549826 010 $a1119549825 010 $a9781119549833 010 $a1119549833 035 $a(CKB)4100000010870950 035 $a(OCoLC)1198924977 035 $a(Perlego)1812768 035 $a(EXLCZ)994100000010870950 100 $a20210112d2021 uy 0 101 0 $aeng 135 $aurgz#---muuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvidence-based statistics $ean introduction to the evidential approach from likelihood principle to statistical practice /$fPeter M.B. Cahusac 210 1$aHoboken, NJ :$cWiley,$d[2021] 215 $a1 online resource 311 1 $a9781119549802 311 1 $a1119549809 320 $aIncludes bibliographical references and index. 327 $aThe Evidence is the Evidence -- The Evidential Approach -- Two Samples -- ANOVA -- Correlation and Regression -- Categorical Data -- Nonparametric Analyses -- Other Useful Techniques -- Orthogonal Polynomials -- Occam's Bonus -- Problems with p Values. 330 8 $aEvidence-Based Statistics: An Introduction to the Evidential Approach - from Likelihood Principle to Statistical Practice provides readers with a comprehensive and thorough guide to the evidential approach in statistics. The approach uses likelihood ratios, rather than the probabilities used by other statistical inference approaches. The evidential approach is conceptually easier to grasp, and the calculations more straightforward to perform. This book explains how to express data in terms of the strength of statistical evidence for competing hypotheses. The evidential approach is currently underused, despite its mathematical precision and statistical validity. Evidence-Based Statistics is an accessible and practical text filled with examples, illustrations and exercises. Additionally, the companion website complements and expands on the information contained in the book. While the evidential approach is unlikely to replace probability-based methods of statistical inference, it provides a useful addition to any statistician's "bag of tricks." In this book: * It explains how to calculate statistical evidence for commonly used analyses, in a step-by-step fashion * Analyses include: t tests, ANOVA (one-way, factorial, between- and within-participants, mixed), categorical analyses (binomial, Poisson, McNemar, rate ratio, odds ratio, data that's 'too good to be true', multi-way tables), correlation, regression and nonparametric analyses (one sample, related samples, independent samples, multiple independent samples, permutation and bootstraps) * Equations are given for all analyses, and R statistical code provided for many of the analyses * Sample size calculations for evidential probabilities of misleading and weak evidence are explained * Useful techniques, like Matthews's critical prior interval, Goodman's Bayes factor, and Armitage's stopping rule are described Recommended for undergraduate and graduate students in any field that relies heavily on statistical analysis, as well as active researchers and professionals in those fields, Evidence-Based Statistics: An Introduction to the Evidential Approach - from Likelihood Principle to Statistical Practice belongs on the bookshelf of anyone who wants to amplify and empower their approach to statistical analysis. 606 $aMathematical statistics 606 $aMathematical statistics$2fast$3(OCoLC)fst01012127 615 0$aMathematical statistics. 615 7$aMathematical statistics. 676 $a519.5 700 $aCahusac$b Peter$f1957-$01604492 906 $aBOOK 912 $a9911019984103321 996 $aEvidence-based statistics$94417172 997 $aUNINA