期刊论文详细信息
| Austrian Journal of Statistics | |
| A Consistent Estimator of Structural Distribution | |
| article | |
| Marijus Radavičius1  | |
| [1] Institute of Applied Mathematics, Vilnius University | |
| 关键词: structural distribution; Poisson mixture; sparsity rate; nonparametric estimator; consistency; weak convergence.; | |
| DOI : 10.17713/ajs.v49i4.1135 | |
| 学科分类:医学(综合) | |
| 来源: Austrian Statistical Society | |
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【 摘 要 】
We consider sparse count data models with the sparsity rate ? = N/n = O(1) where N = N (n) is the number of observations and n ? ? is the number of cells. In this case the plug-in estimator of the structural distribution of expected frequencies is inconsistent. If ? = O(n ?? ) for some ? > 0, the nonparametric maximum likelihood estimator, in general, is also inconsistent. Assuming that some auxiliary information on the expected frequencies is available, we construct a consistent estimator of the structural distribution.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202105240000017ZK.pdf | 223KB |
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