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Power Function of Tukey’s Test for Non-Additivity

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Title Power Function of Tukey’s Test for Non-Additivity
Not Available
 
Creator Divakar Sharma
 
Subject F-test
Additivity of the Effects
Two way classification
 
Description Not Available
For correct interpretation of the conclusions reached about the main effects, it is essential to have the assumption of additivity of the effects. The absence of additivity, in case of a two-way classification (pxq) will bring interaction between row and column into picture, making it difficult to attribute an observed significant difference between two row effects (or column effects), to the difference in effectiveness of the two row effects (or column effects), to the difference in effectiveness of the two factors associated with these row (or columns). Besides, in estimation problem, we cannot have any idea about the variance of the estimate because of unavailability of any unbiased estimate for the error variance gama 2. Moreover, in case of non-additivity, our usual F-test for testing the equality of tow(or column) effects will have less power than in case of additivity. This makes it necessary to investigate about the additivity, a test for which was suggested by Tukey.
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Date 2018-09-22T09:58:04Z
2018-09-22T09:58:04Z
1962-01-01
 
Type Dissertation/Thesis
 
Identifier Divakar Sharma (1962) , Power Function of Tukey’s Test for Non-Additivity, Unpublished Diploma in Agricultural and Animal Husbandry Statistics, IASRI, New Delhi
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/7154
 
Language English
 
Relation Not Available;
 
Publisher ICAR-IASRI (Erstwhile IARS), New Delhi