Combining Experiments under Gauss-Markov Models

摘要

This reprint considers a classical Guass-Markov model where phi consists of the parameters of interest, and psi the nuisance parameters. Here I denotes the identity matrix. The purpose of this article is to study how information increases where two experiments are combined and to gain a clear understanding of this increase in terms of the BLUE's and their variances. Keywords: information matrix.