On simultaneous confidence intervals for all contrasts in the means of the intraclass correlation model with missing data
In this paper, we consider simultaneous confidence intervals for all contrasts in the means when the observations are missing at random in the intraclass correlation model. An exact test statistic for the equality of the means and Scheffe, Bonferroni and Tukey types of simultaneous confidence intervals are given by an extension of Bhargava and Srivastava [On Tukey's confidence intervals for the contrasts in the means of the intraclass correlation model, J. Royal Statist. Soc. B35 (1973) 147-152] when the missing observations are of the monotone type. Finally, numerical results of simultaneous confidence intervals are presented.
Year of publication: |
2006
|
---|---|
Authors: | Seo, Takashi ; Kikuchi, Jun ; Koizumi, Kazuyuki |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 97.2006, 9, p. 1976-1983
|
Publisher: |
Elsevier |
Keywords: | Intraclass correlation model Contrast Scheffe's simultaneous confidence intervals Bonferroni's inequality Tukey's simultaneous confidence intervals Monte Carlo simulation |
Saved in:
Saved in favorites
Similar items by person
-
SIMULTANEOUS CONFIDENCE INTERVALS AMONG k MEAN VECTORS IN REPEATED MEASURES WITH MISSING DATA
Koizumi, Kazuyuki, (2010)
-
A practical report and reflection on a course on evolutionary economics for undergraduate students
Seo, Takashi, (2024)
-
The roles of public and private insurance for the health-care reform of Japan
Tajika, Eiji, (2012)
- More ...