Pairwise Multiple Comparisons

Theory and Computation

Taka-aki Shiraishi, Hiroshi Sugiura, Shin-ichi Matsuda (Autoren)

Buch | Softcover

102 Seiten

2019 | 1st ed. 2019
Springer Verlag, Singapore
978-981-15-0065-7 (ISBN)

Artikel merken

This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolute values of some two-sample t-test statistics and on F-test statistics in homoscedastic multi-sample models. It shows that (1) the multi-step procedures are more powerful than single-step procedures and the Ryan/Einot–Gabriel/Welsh tests, and (2) the confidence regions induced by the multi-step procedures are equivalent to simultaneous confidence intervals. Next, it describes the multi-step test procedure in heteroscedastic multi-sample models, which is superior to the single-step Games–Howell procedure. In the context of simple ordered restrictions of means, the authors also discuss closed testing procedures based on maximum values of two-sample one-sided t-test statistics and based on Bartholomew's statistics. Furthermore, the book presents distribution-free procedures and describes simulation studies performed under the null hypothesis and some alternative hypotheses. Although single-step multiple comparison procedures are generally used, the closed testing procedures described are more powerful than the single-step procedures. In order to execute the multiple comparison procedures, the upper 100α percentiles of the complicated distributions are required. Classical integral formulas such as Simpson's rule and the Gaussian rule have been used for the calculation of the integral transform that appears in statistical calculations. However, these formulas are not effective for the complicated distribution. As such, the authors introduce the sinc method, which is optimal in terms of accuracy and computational cost.

Taka-aki Shiraishi, Nanzan University Hiroshi Sugiura, Nanzan University Shin-ichi Matsuda, Nanzan University

1. All-Pairwise Comparisons in Homoscedastic Multi-Sample Models.- 2. Multiple Comparisons in Heteroscedastic Multi-Sample Models.- 3. Multiple Comparison Procedures under Simple Order Restrictions.- 4.: Nonparametric Procedures Based on Rank Statistics.- 5. Comparing the Simulated Power of Multiple Comparison Tests.- 6. Application of Multiple Comparison Tests to Real Data.- 7. Computation of Distribution Functions for Statistics under Simple Ordered Restrictions.- 8. Related Topics.- Index.

Erscheinungsdatum	21.10.2019
Reihe/Serie	JSS Research Series in Statistics
Reihe/Serie	SpringerBriefs in Statistics
Zusatzinfo	11 Illustrations, black and white; VIII, 102 p. 11 illus.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Analysis
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Technik ► Medizintechnik
	Technik ► Umwelttechnik / Biotechnologie
ISBN-10	981-15-0065-7 / 9811500657
ISBN-13	978-981-15-0065-7 / 9789811500657
Zustand	Neuware