Accession Number : AD0725491

Title :   Multivariate Regression Estimation Based on the Maximum Likelihood Principle.

Descriptive Note : Technical rept.,

Corporate Author : TEXAS A AND M UNIV COLLEGE STATION

Personal Author(s) : Jayatillake,K. S. E. ; Hartley,H. O.

Report Date : 1971

Pagination or Media Count : 23

Abstract : To estimate the population mean, Y bar, of a variate y a simple random sample of observations on y and several concomitant variables with known population means is considered. An approximation to the maximum likelihood estimator of Y bar is obtained and it is seen to be similar to the customary regression estimator. The result is a multivariate generalization of an earlier result due to Hartley and Rao (1968). (Author)

Descriptors :   (*MULTIVARIATE ANALYSIS, SAMPLING), APPROXIMATION(MATHEMATICS), POPULATION(MATHEMATICS), MATHEMATICAL PREDICTION, THEOREMS

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE