JOURNAL ARTICLE

Jackknife empirical likelihood method for testing the equality of two variances

Ying‐Ju ChenWei NingArjun K. Gupta

Year: 2014 Journal:   Journal of Applied Statistics Vol: 42 (1)Pages: 144-160   Publisher: Taylor & Francis

Abstract

In this paper, we propose a nonparametric method based on jackknife empirical likelihood ratio to test the equality of two variances. The asymptotic distribution of the test statistic has been shown to follow χ-super-2 distribution with the degree of freedom 1. Simulations have been conducted to show the type I error and the power compared to Levene's test and F test under different distribution settings. The proposed method has been applied to a real data set to illustrate the testing procedure.

Keywords:
Jackknife resampling Empirical likelihood Statistics Nonparametric statistics Mathematics Type I and type II errors Statistic Empirical distribution function Econometrics Likelihood-ratio test F-test of equality of variances Test statistic Statistical hypothesis testing Confidence interval

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Citation History

Topics

Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods in Clinical Trials
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Bayesian Inference
Physical Sciences →  Mathematics →  Statistics and Probability

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