Jackknife empirical likelihood ratio test for testing the equality of semivarianceJackknife empirical likelihood ratio test...S. Suresh, S. K. Kattumannil

被引:0
|
作者
Saparya Suresh [1 ]
Sudheesh K. Kattumannil [2 ]
机构
[1] Indian Institute of Management,
[2] Indian Statistical Institute,undefined
关键词
Jackknife empirical likelihood; Partial moments; Semivariance; U-statistics; 62G10;
D O I
10.1007/s00362-024-01636-z
中图分类号
学科分类号
摘要
Semivariance is a measure of the dispersion of all observations that fall above the mean or target value of a random variable and it plays an important role in life-length, actuarial and income studies. In this paper, we develop a new non-parametric test for testing the equality of upper semivariance. We use the U-statistic theory to derive the test statistic and then study the asymptotic properties of the test statistic. We also develop a jackknife empirical likelihood (JEL) ratio test for testing the equality of upper semivariance. Extensive Monte Carlo simulation studies are carried out to validate the performance of the proposed JEL-based test. We illustrate the test procedure using real data.
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