Accession Number : ADA318333
Title : Multiple Decision Procedures in Analysis of Variance and Regression Analysis.
Descriptive Note : Interim rept.,
Corporate Author : PURDUE RESEARCH FOUNDATION LAFAYETTE IN
Personal Author(s) : Gupta, S. S. ; Huang, D. Y. ; Panchapakesan, S.
PDF Url : ADA318333
Report Date : SEP 1996
Pagination or Media Count : 13
Abstract : We consider testing of the homogeneity hypothesis in the one-way ANOVA model and testing for the significance of regression in the multiple linear regression model. Unlike in the classical approach, there is no alternative hypothesis to accept when the null hypothesis is rejected. When there is a substantial deviation from the null hypothesis we reject the null hypothesis and also identify the independent variables or the levels that contributed most towards the deviation from the null hypothesis.
Descriptors : *ANALYSIS OF VARIANCE, *LINEAR REGRESSION ANALYSIS, *STATISTICAL DECISION THEORY, MATHEMATICAL MODELS, STOCHASTIC PROCESSES, STATISTICAL TESTS, RANDOM VARIABLES, STATISTICAL SAMPLES, DEGREES OF FREEDOM, ERROR ANALYSIS, HYPOTHESES.
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE