LEADER 00945nam a2200253 i 4500 001 991002462239707536 005 20020508200621.0 008 931019s1991 it ||| | ita 020 $a8870920755 035 $ab11012845-39ule_inst 035 $aPARLA163039$9ExL 040 $aDip.to Scienze dell'Antichità$bita 100 1 $aJossa, Giorgio$0159825 245 12$aI cristiani e l'impero romano :$bda Tiberio a Marco Aurelio /$cGiorgio Jossa 260 $aNapoli :$bD'Auria,$cc1991 300 $a286 p. ;$c21 cm. 490 0 $aStudi sul giudaismo e sul cristianesimo antico ;$v2 650 4$aCristianesimo e Impero romano 907 $a.b11012845$b23-02-17$c28-06-02 912 $a991002462239707536 945 $aLE015 201 - 42/2$g1$i2015000099181$lle007$o-$pE0.00$q-$rl$s- $t0$u9$v4$w9$x0$y.i11130763$z28-06-02 996 $aCristiani e l'impero romano$9552719 997 $aUNISALENTO 998 $ale007$b01-01-93$cm$da $e-$fita$git $h2$i1 LEADER 03321nam 22006615 450 001 9910349322903321 005 20250417030507.0 010 $a9783030209339 010 $a3030209334 024 7 $a10.1007/978-3-030-20933-9 035 $a(CKB)4100000008878187 035 $a(DE-He213)978-3-030-20933-9 035 $a(MiAaPQ)EBC5919001 035 $a(PPN)258064498 035 $a(EXLCZ)994100000008878187 100 $a20190802d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA Primer of Permutation Statistical Methods /$fby Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke, Jr 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXIII, 476 p. 8 illus., 1 illus. in color.) 311 08$a9783030209322 311 08$a3030209326 330 $aThe primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the conventional structure of most introductory books on statistical methods, and features chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, one-way fully-randomized analysis of variance, one-way randomized-blocks analysis of variance, simple regression and correlation, and the analysis of contingency tables. In addition, it introduces and describes a comparatively new permutation-based, chance-corrected measure of effect size. Because permutation tests and measures are distribution-free, do not assume normality, and do not rely on squared deviations among sample values, they are currently being applied in a wide variety of disciplines. This book presents permutation alternatives to existing classical statistics, and is intended as a textbook for undergraduate statistics courses or graduate courses in the natural, social, and physical sciences, while assuming only an elementary grasp of statistics. 606 $aStatistics 606 $aBiometry 606 $aDiscrete mathematics 606 $aMathematics 606 $aHistory 606 $aStatistical Theory and Methods 606 $aBiostatistics 606 $aDiscrete Mathematics 606 $aHistory of Mathematical Sciences 615 0$aStatistics. 615 0$aBiometry. 615 0$aDiscrete mathematics. 615 0$aMathematics. 615 0$aHistory. 615 14$aStatistical Theory and Methods. 615 24$aBiostatistics. 615 24$aDiscrete Mathematics. 615 24$aHistory of Mathematical Sciences. 676 $a519.5 676 $a511.64 700 $aBerry$b Kenneth J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0148872 702 $aJohnston$b Janis E$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMielke$b Jr., Paul W$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349322903321 996 $aA Primer of Permutation Statistical Methods$92510590 997 $aUNINA