Multivariate generalization of t'- statistic based on the mean square successive difference
C. G. Khatri
Abstract
C. G. Khatri
Abstract
The usual t-statistic is not useful if the successive observations have some kind of linear trend. This generally arises in the drug testing experiment and it is clearly pointed out by Shah (1988). He suggests to use t'-statistic which is defined by for testing μ = 0 where , and y1.,…,yk are independent observations from . We generalize this statistic to multivariate situation and define T'-statistic as where .The exact null distribution of T' and an approximate null distribution of T' are obtained. For p = 1, this approximate values are compared.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The usual t-statistic is not useful if the successive observations have some kind of linear trend. This generally arises in the drug testing experiment and it is clearly pointed out by Shah (1988). He suggests to use t'-statistic which is defined by for testing μ = 0 where , and y1.,…,yk are independent observations from . We generalize this statistic to multivariate situation and define T'-statistic as where .The exact null distribution of T' and an approximate null distribution of T' are obtained. For p = 1, this approximate values are compared.
Key concepts: Statistic, Mathematics, Chi-square test, Multivariate statistics, F-test, Ancillary statistic, PRESS statistic, Null distribution