| Abstract: | Summary In the present paper, the simultaneous confidence intervals associated with the Simultaneous Multivariate Analysis of Variance
(SMANOVA) tests are derived when the hypotheses can be tested in a “quasi-independentrd manner. With respect to the Simultaneous
Analysis of Variance (SANOVA) test, the quasi-independence is weakened and the distribution problems are investigated when
the joint distribution of the sums of squares associated with various hypotheses is a “multivariate chi-square ” distribution.
It is shown that the lengths of the confidence intervals associated with the SANOVA test (dependent case) are shorter than
the lengths of the corresponding confidence intervals obtained by using Scheffé’s method when the hypotheses on several contrasts
are tested simultaneously. It is also shown that the SMANOVA test yields narrower confidence intervals than the MANOVA test
when several quasi-independent hypotheses are tested simultaneously.
Part of the work was done under U.S. Air Force Contract No. AF 49 (638) 213 when the author was at the University of North
Carolina.
Part of the author’s Ph. D. thesis submitted to the University of Minnesota. |
