Some Further Remarks concerning "A General Approach to the Estimation of Variance Components"

The estimates of Koch [1967a] have the undesirable property that they may change in value if the same constant is added to each of the observations. In this paper, an alternative procedure based on the same general principles is developed and applied to a variety of models. As before, the estimators obtained are unbiased and consistent. They are also reasonably easy to compute. Finally, in the case of balanced experiments, they coincide with those obtained from the analysis of variance. On the other hand, their structure is more complex than that of the estimators considered in the previous paper. In particular, the derivation of their covariance matrix is much more complicated, and hence no attempt has been made here to study its properties.

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Publication Details

Journal
UNC Libraries
Published
2025-12-17
DOI
https://doi.org/10.17615/08e8-ry27
Primary Topic
Advanced Statistical Methods and Models
Type
article
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article

Some Further Remarks concerning "A General Approach to the Estimation of Variance Components"

Gary G. Koch
UNC Libraries
Advanced Statistical Methods and Models
article

Some Further Remarks concerning "A General Approach to the Estimation of Variance Components"

Gary G. Koch
article en

Abstract

The estimates of Koch [1967a] have the undesirable property that they may change in value if the same constant is added to each of the observations. In this paper, an alternative procedure based on the same general principles is developed and applied to a variety of models. As before, the estimators obtained are unbiased and consistent. They are also reasonably easy to compute. Finally, in the case of balanced experiments, they coincide with those obtained from the analysis of variance. On the other hand, their structure is more complex than that of the estimators considered in the previous paper. In particular, the derivation of their covariance matrix is much more complicated, and hence no attempt has been made here to study its properties.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 63%
Advanced Statistical Methods and Models
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