
Accession Number : ADA018848
Title : PostStratification Estimators and Related Techniques.
Descriptive Note : Technical rept.,
Corporate Author : TEXAS A AND M UNIV COLLEGE STATION
Personal Author(s) : Hartley,H. O. ; Somayajulu,Ramana
Report Date : MAY 1975
Pagination or Media Count : 123
Abstract : It is the objective of this dissertation to develop techniques in current use in sample survey theory which employ auxiliary information in the form of socalled concommitant variables. The main section of this dissertation is concerned with a situation in which the auxiliary variables are used to classify the sample units into 'post strata'. In this situation the auxiliary variables will be known only after sampling and cannot be used for the construction of strata to be sampled in prescribed quotas. The second aspect is concerned with socalled 'regression estimates' and here the customary large sample theory of linear regression estimators with one concommitant variable is extended to a second order (parabolic) regression. The third aspect is concerned with extending the 'double ratio estimators' to 'multivariate double ratio estimaotrs' and the well known 'linear regression estimators' to 'linear regression estimators with several auxiliary variables'.
Descriptors : *Sampling, *Estimates, Regression analysis, Multivariate analysis, Analysis of variance, Theorems, Mathematical prediction
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE