Nonparametric Bayes estimation of a distribution under nomination sampling
โ Scribed by Tiwari, R.C.
- Book ID
- 114555967
- Publisher
- IEEE
- Year
- 1988
- Tongue
- English
- Weight
- 306 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0018-9529
- DOI
- 10.1109/24.9882
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๐ SIMILAR VOLUMES
A truncation bias affects the observation of a pair of variables (X, Y), so that data are available only if Y ~<X. In such a situation, the nonparametric maximum likelihood estimator (NPMLE) of the distribution function of Y may have unpleasant features (Woodroofe, Ann. Statisr 13 (1985) 163-177). A
We consider independent pairs (X 1 , 7 1 ), (X 2 , 7 2 ), ..., (X n , 7 n ), where each 7 i is distributed according to some unknown density function g(7) and, given 7 i =7, X i has conditional density function q(x | 7) of the Wishart type. In each pair the first component is observable but the seco