Testing the Validity of Lindley Model Based on Informational Energy with Application to Real Medical Data

  • Hadi Alizadeh Noughabi University of Birjand, Iran
DOI: https://doi.org/10.19139/soic-2310-5070-1238
Keywords: Lindley distribution;, Informational energy, Test of fit, Power of test, Monte Carlo simulation

Abstract

In this article, a test statistic for testing the validity of the Lindley model based on the informational energy is proposed. Consistency of our test is shown. Through a simulation study, we obtain the critical values of the test statistic and then the power of the test is computed by Monte Carlo method against various alternatives. The performance of the proposed test with some competing tests is compared. Our results show that our test is superior to the classical nonparametric tests and can apply to a testing problem in practice. A real medical data set is presented and analyzed.

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Published
2021-07-30
How to Cite
Alizadeh Noughabi, H. (2021). Testing the Validity of Lindley Model Based on Informational Energy with Application to Real Medical Data. Statistics, Optimization & Information Computing, 10(2), 372-382. https://doi.org/10.19139/soic-2310-5070-1238
Issue
Vol 10 No 2 (2022)
Section
Research Articles
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