The Annals of Statistics

Using the Stepwise Bayes Technique to Choose Between Experiments

Reda Mazloum and Glen Meeden

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Abstract

In Meeden and Ghosh (1983) a theory was developed for choosing, possibly at random, from a group of experiments the one to be observed. Here we consider the problem when the class of possible designs is restricted to a subclass of all designs. A theorem which identifies some admissible decision procedures and generalizes the early work is proved. Some applications to finite population sampling are discussed.

Article information

Source
Ann. Statist., Volume 15, Number 1 (1987), 269-277.

Dates
First available in Project Euclid: 12 April 2007

Permanent link to this document
https://projecteuclid.org/euclid.aos/1176350265

Digital Object Identifier
doi:10.1214/aos/1176350265

Mathematical Reviews number (MathSciNet)
MR885736

Zentralblatt MATH identifier
0624.62009

JSTOR
links.jstor.org

Subjects
Primary: 62C15: Admissibility
Secondary: 62D05: Sampling theory, sample surveys 62C10: Bayesian problems; characterization of Bayes procedures

Keywords
Choosing between experiments admissibility stepwise Bayes finite population sampling uniform admissibility

Citation

Mazloum, Reda; Meeden, Glen. Using the Stepwise Bayes Technique to Choose Between Experiments. Ann. Statist. 15 (1987), no. 1, 269--277. doi:10.1214/aos/1176350265. https://projecteuclid.org/euclid.aos/1176350265


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