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001 9910574041103321
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010   $a9789811927089$b(electronic bk.)
010   $z9789811927072
024 7 $a10.1007/978-981-19-2708-9
035   $a(MiAaPQ)EBC7007405
035   $a(Au-PeEL)EBL7007405
035   $a(CKB)23114204100041
035   $aEBL7007405
035   $a(AU-PeEL)EBL7007405
035   $a(PPN)269148965
035   $a(DE-He213)978-981-19-2708-9
035   $a(EXLCZ)9923114204100041
100   $a20220531d2022      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMultiple Comparisons for Bernoulli Data /$fby Taka-aki Shiraishi
205   $a1st ed. 2022.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022.
215   $a1 online resource (121 pages)
225 1 $aJSS Research Series in Statistics,$x2364-0065
300   $aIncludes index.
311 08$aPrint version: Shiraishi, Taka-aki Multiple Comparisons for Bernoulli Data Singapore : Springer,c2022 9789811927072 
327   $aTheoretical Basics in One-Sample and Two-Sample Models -- Simultaneous Inference for All Proportions -- All-Pairwise Comparison Tests -- Multiple Comparison Tests with a Control -- Simultaneous Confidence Intervals -- All-Pairwise Comparisons under Simple Order Restrictions -- Comparisons with a Control and Successive Comparisons under Simple Order Restrictions -- Comparisons with a Control and Successive Comparisons under Simple Order Restrictions -- Hybrid Serial Gatekeeping Procedures for Multiple Comparisons With a Control.
330   $aThis book focuses on multiple comparisons of proportions in multi-sample models with Bernoulli responses. First, the author explains the one-sample and two-sample methods that form the basis of multiple comparisons. Then, regularity conditions are stated in detail. Simultaneous inference for all proportions based on exact confidence limits and based on asymptotic theory is discussed. Closed testing procedures based on some one-sample statistics are introduced. For all-pairwise multiple comparisons of proportions, the author uses arcsine square root transformation of sample means. Closed testing procedures based on maximum absolute values of some two-sample test statistics and based on chi-square test statistics are introduced. It is shown that the multi-step procedures are more powerful than single-step procedures and the Ryan?Einot?Gabriel?Welsch (REGW)-type tests. Furthermore, the author discusses multiple comparisons with a control. Under simple ordered restrictions of proportions, the author also discusses closed testing procedures based on maximum values of two-sample test statistics and based on Bartholomew's statistics. Last, serial gatekeeping procedures based on the above-mentioned closed testing procedures are proposed although Bonferroni inequalities are used in serial gatekeeping procedures of many.
410  0$aJSS Research Series in Statistics,$x2364-0065
606   $aStatistics
606   $aStatistics
606   $aBiometry
606   $aApplied Statistics
606   $aStatistical Theory and Methods
606   $aBiostatistics
615  0$aStatistics.
615  0$aStatistics.
615  0$aBiometry.
615 14$aApplied Statistics.
615 24$aStatistical Theory and Methods.
615 24$aBiostatistics.
676   $a519.5
700   $aShiraishi$b Taka-aki$0782100
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910574041103321
996   $aMultiple Comparisons for Bernoulli Data$92869526
997   $aUNINA