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Multiple Comparisons for Bernoulli Data
Details
This 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 RyanEinotGabrielWelsch (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.
States the regularity condition of confidence limit, not mentioned until now as English literature Proposes high-power closed testing procedures as multiple comparisons Discusses hybrid serial gatekeeping procedures based on closed testing procedures
Autorentext
Taka-aki Shiraishi, Nanzan University
Inhalt
Theoretical 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.
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Weitere Informationen
- Allgemeine Informationen
- GTIN 09789811927072
- Lesemotiv Verstehen
- Genre Maths
- Auflage 1st edition 2022
- Anzahl Seiten 128
- Herausgeber Springer Nature Singapore
- Größe H235mm x B155mm x T8mm
- Jahr 2022
- EAN 9789811927072
- Format Kartonierter Einband
- ISBN 9811927073
- Veröffentlichung 02.06.2022
- Titel Multiple Comparisons for Bernoulli Data
- Autor Taka-Aki Shiraishi
- Untertitel SpringerBriefs in Statistics - JSS Research Series in Statistics
- Gewicht 207g
- Sprache Englisch