| JOURNAL OF MULTIVARIATE ANALYSIS | 卷:83 |
| Multivariate discrete distributions with a product-type dependence | |
| Article | |
| Becker, NG ; Utev, S | |
| 关键词: characterizing discrete distributions; characterizing independence; conditional specification; identifiability of mixtures; multivariate discrete distributions; regression function; | |
| DOI : 10.1006/jmva.2001.2061 | |
| 来源: Elsevier | |
PDF
|
|
【 摘 要 】
A discrete multivariate probability distribution for dependent random variables, which contains the Poisson and Geometric conditionals distributions as particular cases, is characterized by means of conditional expectations of arbitrary one-to-one functions. Independence of the random variables is also characterized in terms of these conditional expectations. For certain exchangeable and partially exchangeable random variables with a joint distribution of this form it is shown that maximum likelihood estimates coincide with the simple method of moments estimates, suggesting that these models offer a pragmatic way to analyze certain dependent data. (C) 2002 Elsevier Science (USA).
【 授权许可】
Free
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1006_jmva_2001_2061.pdf | 128KB |
PDF