Author Information

R. R. Hocking

Abstract

The purpose of this paper is to introduce some recent developments in variance component estimation with emphasis on techniques which provide diagnostic information on the data and the model assumptions. This paper concentrates on the balanced data situation, but suggests a natural extension to the case of unbalanced data. The basic ideas are illustrated by several numerical examples.

Keywords

Mixed Models, Diagnostics

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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Apr 30th, 8:00 AM

RECENT DEVELOPMENTS IN VARIANCE COMPONENT ESTIMATION

The purpose of this paper is to introduce some recent developments in variance component estimation with emphasis on techniques which provide diagnostic information on the data and the model assumptions. This paper concentrates on the balanced data situation, but suggests a natural extension to the case of unbalanced data. The basic ideas are illustrated by several numerical examples.