Improved estimation of kurtosis parameters for two multivariate populations
- 作者: Zahra N.1, Lisawadi S.1, Ahmed S.1
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隶属关系:
- Department of Mathematics and Statistics
- 期: 卷 38, 编号 1 (2017)
- 页面: 110-115
- 栏目: Article
- URL: https://journals.rcsi.science/1995-0802/article/view/198708
- DOI: https://doi.org/10.1134/S1995080217010218
- ID: 198708
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详细
Improved estimators for the kurtosis parameters of two multivariate populations are developed under the assumption that they are equal. Shrinkage and preliminary test estimators are proposed and their asymptotic properties are presented analytically and numerically. Comparisons of the suggested estimators are made on the basis of their asymptotic distributional biases and asymptotic quadratic risks. It is observed that the suggested estimators perform better than the estimator based on the sample data only in a wider range of parametric space.
作者简介
Nighat Zahra
Department of Mathematics and Statistics
编辑信件的主要联系方式.
Email: nighat.zahra@hotmail.com
泰国, Bangkok
Supranee Lisawadi
Department of Mathematics and Statistics
Email: nighat.zahra@hotmail.com
泰国, Bangkok
S. Ahmed
Department of Mathematics and Statistics
Email: nighat.zahra@hotmail.com
加拿大, St. Catharines, ON
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