| Автор | Alam, Khursheed |
| Автор | Kulasekera, K.B. |
| Дата выпуска | 1993 |
| dc.description | There are given k stochastically ordered populations. A sequential sampling procedure (S) is proposed for selecting the population associated with the largest rank in the ordering. Observations are taken one at a time from each of the k populations. The procedure S allows for a specified maximum number (M) of observations to be taken from each population. The stage N at which the sampling is stopped depends on the choice of a parameter c. The choice of c is based on a trade-off between the expected number of observations and the probability of a correct selection (PCS). A table is given showing the values of c, the associated values of the PCS and the expected sample number, based on the asymptotic properties of S when M is large. Empirical results are given, based on a simulation study of the small sample properties of S. |
| Формат | application.pdf |
| Издатель | Marcel Dekker, Inc. |
| Копирайт | Copyright Taylor and Francis Group, LLC |
| Тема | Sequential Selection |
| Тема | Rank Statistics |
| Тема | Stochastic Ordering |
| Название | A nonparametric sequential selection procedure |
| Тип | research-article |
| DOI | 10.1080/07474949308836286 |
| Electronic ISSN | 1532-4176 |
| Print ISSN | 0747-4946 |
| Журнал | Sequential Analysis |
| Том | 12 |
| Первая страница | 271 |
| Последняя страница | 288 |
| Аффилиация | Alam, Khursheed; Department of Mathematical Sciences, Clemson University |
| Аффилиация | Kulasekera, K.B.; Department of Mathematical Sciences, Clemson University |
| Выпуск | 3-4 |
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