期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2004
卷号：3
期号：1
页码：15
出版社：Wayne State University
摘要：Kernel estimation provides a nonparametric estimate of the probability density function from which a set of data is drawn. This article proposes a method to choose a reference density in bandwidth calculation for kernel estimator using line transect sampling. The method based on testing the shoulder condition, if the shoulder condition seems to be valid using as reference the half normal density, while if the shoulder condition does not seem to be valid, we will use exponential reference density. Accordingly, the performances of the resultant estimator are studied under a wide range of underlying models using simulation techniques. The results demonstrate the improvements that can be obtained by applying this technique.
关键词：Line transect method; kernel density estimation; shoulder condition
