Performance of the Graybill–Deal Estimator via Pitman Closeness Criterion

DOI

10.2991/jsta.2018.17.2.9How to use a DOI?

Keywords

Graybill-Deal Estimator; Pitman Closeness; Meta Analysis

Abstract

Pitman closeness criterion is a coverage probability-based criterion to examine the relative performances of estimators. Usually, the performance of the standard Graybill-Deal estimator of the common mean has been examined with respect to the mean squared error (variance). In this study we examine its performance with respect to the Pitman closeness criterion. Specifically, we compare a p-source based Graybill-Deal estimator against its q-source based competitors for q (< p)-source subsets of p-source data. The key references to this paper are [5] and [7].

Copyright

Copyright © 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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TY  - JOUR
AU  - Keyu Nie
AU  - Bikas.K. Sinha
AU  - A.S. Hedayat
PY  - 2018
DA  - 2018/06/30
TI  - Performance of the Graybill–Deal Estimator via Pitman Closeness Criterion
JO  - Journal of Statistical Theory and Applications
SP  - 291
EP  - 306
VL  - 17
IS  - 2
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2018.17.2.9
DO  - 10.2991/jsta.2018.17.2.9
ID  - Nie2018
ER  -