LEADER 03104nam 22005415 450 001 9910755072503321 005 20231025133459.0 010 $a3-031-41713-5 024 7 $a10.1007/978-3-031-41713-9 035 $a(MiAaPQ)EBC30827914 035 $a(Au-PeEL)EBL30827914 035 $a(DE-He213)978-3-031-41713-9 035 $a(PPN)272920444 035 $a(MiAaPQ)EBC30826830 035 $a(Au-PeEL)EBL30826830 035 $a(EXLCZ)9928553955900041 100 $a20231025d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA Guide to Robust Statistical Methods$b[electronic resource] /$fby Rand R. Wilcox 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (335 pages) 311 08$aPrint version: Wilcox, Rand R. A Guide to Robust Statistical Methods Cham : Springer,c2023 9783031417122 327 $a1. Introduction -- 2. The one-sample case -- 3. Comparing two independent groups -- 4. Comparing two dependent groups -- 5. Comparing multiple independent groups -- 6. Comparing multiple dependent groups -- 7. Robust regression estimators -- 8. Inferential methods based on robust regression estimators -- 9. Measures of association -- 10. Comparing groups when there is a covariate. 330 $aRobust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic techniques when standard assumptions are true?but they continue to perform well in situations where classic methods perform poorly. This book provides a relatively non-technical guide to modern methods. The focus is on applying modern methods using R, understanding when and why classic methods can be unsatisfactory, and fostering a conceptual understanding of the relative merits of different techniques. A recurring theme is that no single method reveals everything one would like to know about the population under study. An appeal of robust methods is that under general conditions they provide much higher power than conventional techniques. Perhaps more importantly, they help provide a deeper and more nuanced understanding of data. The book is for readers who had at least one semester of statistics, aimed at non-statisticians. 606 $aStatistics 606 $aSampling (Statistics) 606 $aStatistical Theory and Methods 606 $aApplied Statistics 606 $aMethodology of Data Collection and Processing 615 0$aStatistics. 615 0$aSampling (Statistics). 615 14$aStatistical Theory and Methods. 615 24$aApplied Statistics. 615 24$aMethodology of Data Collection and Processing. 676 $a519.5 700 $aWilcox$b Rand R$0148674 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910755072503321 996 $aA Guide to Robust Statistical Methods$93594847 997 $aUNINA