Accession Number : AD0876630
Title : A Backward Elimination General Significance Regression Model.
Descriptive Note : Technical rept.,
Corporate Author : ARMY MISSILE COMMAND REDSTONE ARSENAL AL SYSTEMS ANALYSIS DIV
Personal Author(s) : Colvin, Charles E. ; Machtolff, Maureen E.
Report Date : OCT 1970
Pagination or Media Count : 55
Abstract : The report develops a statistical procedure for selecting a proper set of independent variables in a linear regression model. The procedure is a backward elimination procedure in which initially a large model is hypothesized and systematically non-significant variables are eliminated one by one. Two different situations were investigated concerning sample estimates of the error: pure error, and using lack-of-fit as an error estimate, with the effects on the testing procedure for each case. (Author)
Descriptors : (*REGRESSION ANALYSIS, STATISTICAL TESTS), SET THEORY, RANDOM VARIABLES, MATRICES(MATHEMATICS), MATHEMATICAL MODELS, WEAPON SYSTEMS, GUIDED MISSILES, ROCKET ENGINES.
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE