Accession Number : AD0693120

Title :   ESTIMATION FOR A GENERALIZATION OF THE USUAL LINEAR STATISTICAL MODEL,

Corporate Author : RAND CORP SANTA MONICA CALIF

Personal Author(s) : Eaton,M. L. ; Eckles,J. E. ; Morris,C. N.

Report Date : AUG 1969

Pagination or Media Count : 38

Abstract : The Memorandum develops an explicit formula for minimum-variance unbiased linear estimates pertinent to a description of the regression manifold, which is more general than the usual linear model. A review of Gauss-Markov theory, projection theory, and pseudo-inversion, all in a coordinate-free setting, is included at an introductory level. With the results contained in the review, the estimators for the generalized model are quickly and easily developed. (Author)

Descriptors :   (*REGRESSION ANALYSIS, MODEL THEORY), MATHEMATICAL MODELS, STATISTICAL PROCESSES, LINEAR SYSTEMS, TOPOLOGY, ASTROPHYSICS, THEOREMS

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE