期刊
ENVIRONMENTAL AND ECOLOGICAL STATISTICS
卷 8, 期 1, 页码 21-32出版社
SPRINGER
DOI: 10.1023/A:1009697731573
关键词
bootstrap; likelihood ratio test; mixture models
We utilize mixture models and nonparametric maximum likelihood estimation to both develop a likelihood ratio test (lrt) for a common simplifying assumption and to allow heterogeneity within premarked cohort studies. Our methods allow estimation of the entire probability model and thus one can not only estimate many parameters of interest but one can also bootstrap from the estimated model to predict many things, including the standard deviations of estimators. Simulations suggest that our Irt has the appropriate protection far Type I error and often has good power. In practice, our lrt is important for determining the appropriateness of estimators and in examining if a simple design with only one capture period could be utilized for a future similar study.
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