## Abstract This note considers the optimal and suboptimal sequential and fixed sample size estimation of the unknown binomial parameter, __p__, for a beta prior distribution for __p__ and under quadratic loss and constant observation cost. A numerical comparison of the methods is presented.
Comparison of a cokriging method with a Bayesian alternative
โ Scribed by Weimin Sun
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 191 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1180-4009
No coin nor oath required. For personal study only.
โฆ Synopsis
In this paper we compare MWRCK, a cokriging method, with LSZ, a Bayesian alternative. We test the methods for using the monthly NO 3 and SO 4 levels observed from 1983 to 1986 at 45 sites over the conterminous United States. Our simulation study suggests the LSZ predictor yields smaller overall mean squared prediction error than the MWRCK method, although these MSPE values are close. Since the LSZ method incorporates model uncertainty, it has an almost correct coverage probability. We ยฎnd that the MWRCK method yields a low coverage probability.
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