Accession Number : AD0680032

Title :   THE CONSISTENCY OF NONLINEAR REGRESSIONS.

Descriptive Note : Technical rept.,

Corporate Author : CALIFORNIA UNIV BERKELEY CENTER FOR RESEARCH IN MANAGEMENT SCIENCE

Personal Author(s) : Malinvaud,Edmond

Report Date : OCT 1968

Pagination or Media Count : 28

Abstract : This paper gives alternative sufficient conditions for the least squares estimates to be consistent in the case of nonlinear regression, i.e., without the assumption of linearity of g with respect to the parameters.

Descriptors :   (*REGRESSION ANALYSIS, CONVERGENCE), STATISTICAL ANALYSIS, LEAST SQUARES METHOD, RANDOM VARIABLES, MATHEMATICAL MODELS

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE