刊名:Journal of Agricultural, Biological, and Environmental Statistics
出版年:2016
出版时间:September 2016
年:2016
卷:21
期:3
页码:588-598
全文大小:858 KB
刊物类别:Mathematics and Statistics
刊物主题:Statistics Agriculture Statistics for Life Sciences, Medicine and Health Sciences Biostatistics Monitoring/Environmental Analysis
出版者:Springer New York
ISSN:1537-2693
卷排序:21
文摘
In this note, it is shown that the integrated likelihood for the Royle–Nichols model with a Poisson mixing distribution can be expressed as a finite rather than an infinite sum of terms. The advantages which so accrue are discussed and explored by means of two examples. The finite sum formulation of the likelihood is also shown to hold for negative binomial and zero-inflated mixing distributions. Results based on these two mixing distributions proved disappointing however and their use is not recommended unless extensive data are available.