Автор |
Norris, lll, James L. |
Автор |
Meeter, Duane A. |
Дата выпуска |
1992 |
dc.description |
Under both simple random sampling and stratified random sampling from a study region, we develop a Bayesian, asymptotic lower limit for the expected number of the region's classes that are not observed in the sample. In practical applications, the classes might be species in a forest or types of defects in a product line. The aforementioned lower limit is extremely robust to the prior on θ, the total number of classes in the region. We also consider a potential lower limit for θ. Both the lower limit on the expected number of unobserved classes and the lower limit on θ were conservative in our simulations. |
Формат |
application.pdf |
Издатель |
Marcel Dekker, Inc. |
Копирайт |
Copyright Taylor and Francis Group, LLC |
Тема |
Bayesian methods |
Тема |
asymptotic distribution |
Тема |
stratified random sampling |
Тема |
robustness |
Название |
A robust bayesian lower limit for the expected number of unobserved classes |
Тип |
research-article |
DOI |
10.1080/03610929308831007 |
Electronic ISSN |
1532-415X |
Print ISSN |
0361-0926 |
Журнал |
Communications in Statistics - Theory and Methods |
Том |
22 |
Первая страница |
81 |
Последняя страница |
95 |
Аффилиация |
Norris, lll, James L.; Department of Mathematics and Computer Science, Wake Forest University |
Аффилиация |
Meeter, Duane A.; Department of Statistics, Florida State University |
Выпуск |
1 |
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