Non-Parametric Tests for Testing of Scale Parameters

Author:

Goyal Manish1,Kumar Narinder1

Affiliation:

1. Panjab University, Chandigarh, India

Abstract

One of the fundamental problems in testing of equality of populations is of testing the equality of scale parameters. The subsequent usages for scale are dispersion, spread and variability. In this paper, we proposed non-parametric tests based on U-Statistics for the testing of equality of scale parameters. The null distribution of proposed tests is developed and its Pitman efficiency is worked out to compare proposed tests with respect to some existing tests. Simulation study is carried out to compute the asymptotic power of proposed tests. An illustrative example is also provided.

Publisher

Wayne State University Library System

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

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1. A Nonparametric Test for Randomly Censored Data;Annals of Data Science;2023-10-26

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