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Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

2004

Social and Behavioral Sciences

Wayne State University

Kernel density estimation

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Full-Text Articles in Physical Sciences and Mathematics

Kernel-Based Estimation Of P(X Less Than Y)With Paired Data, Omar M. Eidous, Ayman Baklizi May 2004

Kernel-Based Estimation Of P(X Less Than Y)With Paired Data, Omar M. Eidous, Ayman Baklizi

Journal of Modern Applied Statistical Methods

A point estimation of P(X < Y) was considered. A nonparametric estimator for P(X < Y) was developed using the kernel density estimator of the joint distribution of X and Y, may be dependent. The resulting estimator was found to be similar to the estimator based on the sign statistic, however it assigns smooth continuous scores to each pair of the observations rather than the zero or one scores of the sign statistic. The asymptotic equivalence of the sign statistic and the proposed estimator is shown and a simulation study is conducted to investigate the performance of the proposed estimator. Results indicate that …


Some Improvements In Kernel Estimation Using Line Transect Sampling, Omar M. Eidous May 2004

Some Improvements In Kernel Estimation Using Line Transect Sampling, Omar M. Eidous

Journal of Modern Applied Statistical Methods

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 …