Learn More
Discussion Papers are a series of manuscripts in their draft form. They are not intended for circulation or distribution except as indicated by the author. For that reason Discussion Papers may not be reproduced or distributed without the written consent of the author. Abstract In this paper, we consider the problem of selecting the variables of the fixed(More)
When families have different numbers of offspring, the maximum likelihood procedure for estimating the intraclass correlation is iterative, requiring considerable computation. Occasionally, the iterations do not even converge. To overcome this difficulty, several non-iterative estimators have been proposed by Smith (1956). However, to choose from among(More)
We consider two hypothesis testing problems with N independent observations on a single m-vector, when m > N , and the N observations on the random m-vector are independently and identically distributed as multivari-ate normal with mean vector µ and covariance matrix Σ, both unknown. In the first problem, the m-vector is partitioned into two subvectors of(More)
Discussion Papers are a series of manuscripts in their draft form. They are not intended for circulation or distribution except as indicated by the author. For that reason Discussion Papers may not be reproduced or distributed without the written consent of the author. Abstract The problem of estimating the large covariance matrix of both normal and(More)
This article analyzes whether the existing tests for the p × p covariance matrix Σ of the N independent identically distributed observation vectors with N ≤ p work under non-normality. We focus on three hypotheses testing problems: (1) testing for sphericity, that is, the covariance matrix Σ is proportional to an identity matrix I p ; (2) the covariance(More)
In this paper alternative methods for estimating the relative potency, its confidence intervals, and testing for proportionality are developed for multivariate bioassays. The test and estimate are based on the smaller characteristic root and the corresponding characteristic vector of a 2 X 2 matrix. The same idea is applied in combining several symmetric(More)