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On testing homogeneity of t normal means against ordered alternatives in r groups
Year:
1983
Authors :
Marcus, Ruth
;
.
Talpaz, Hovav
;
.
Volume :
12
Co-Authors:
Marcus, R., Department of Statistics, Experiment Design Agricultural Research Organization, Bet Dagan, Israel
Talpaz, H., Department of Statistics, Experiment Design Agricultural Research Organization, Bet Dagan, Israel
Facilitators :
From page:
2897
To page:
2902
(
Total pages:
6
)
Abstract:
Given k=rt normal populations with a common but unknown variance consisting of t treatments applied to r different groups of units, and supposing that in each group the means are monotonically non-decreasing (or non-increasing), then the likelihood ratio test of homogeneity of the means in each group against the simple order alternative is considered. Critical values are provided when one observation is drawn from each of the k populations. Copyright © 1983 by Marcel Dekker, Inc.
Note:
Related Files :
alternatives
Likelihood ratio tests
simple order
simultaneous test procedures
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Related Content
More details
DOI :
10.1080/03610928308828648
Article number:
0
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
27571
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:32
Scientific Publication
On testing homogeneity of t normal means against ordered alternatives in r groups
12
Marcus, R., Department of Statistics, Experiment Design Agricultural Research Organization, Bet Dagan, Israel
Talpaz, H., Department of Statistics, Experiment Design Agricultural Research Organization, Bet Dagan, Israel
On testing homogeneity of t normal means against ordered alternatives in r groups
Given k=rt normal populations with a common but unknown variance consisting of t treatments applied to r different groups of units, and supposing that in each group the means are monotonically non-decreasing (or non-increasing), then the likelihood ratio test of homogeneity of the means in each group against the simple order alternative is considered. Critical values are provided when one observation is drawn from each of the k populations. Copyright © 1983 by Marcel Dekker, Inc.
Scientific Publication
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