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:

1968-10-01

Pagination or Media Count:

28.0

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