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Empirical Bayes Selection Procedures for Selecting the Best Logistic Population Compared with a Control
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gupta, Shanti S. Zheng-Yan, Lin |
| Copyright Year | 1998 |
| Abstract | Abstract : In this paper we investigate the problem of selecting the best logistic population from k(greater than or equal 2) possible candidates. The selected population must also be better than a given control. We employ the empirical Bayes approach and develop a selection procedure. The performance (rate of convergence) of the proposed selection rule is also analyzed. We also carry out a simulation study to investigate the rate of convergence of the proposed empirical Bayes selection procedure. The results of simulation are provided in the paper. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.dtic.mil/dtic/tr/fulltext/u2/a358196.pdf |
| Alternate Webpage(s) | https://doi.org/10.21236/ada358196 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |