A New Family of Distribution with Application on Two Real Datasets on Survival Problem

Authors

  • Kanak Modi Department of Mathematics, Amity University of Rajasthan, Jaipur-303002, India
  • Devendra Kumar Department of Mathematics, University of Rajasthan, Jaipur-302004, India
  • Yudhveer Singh Amity Institute of Information Technology, Amity University of Rajasthan, Jaipur-303002, India

Keywords:

Exponential distribution, Maximum likelihood estimation, Order statistics, Probability weighted moments, Renyi entropy

Abstract

In this paper we introduce a new Modi family of continuous probability distributions with application on patients suffering from disease and their survival times. The proposed distribution possesses a density function with three parameters and an inverted J-shape hazard rate function. We studied the nature of proposed distribution with the help of its mathematical and statistical properties. The probability density function of order statistics for this distribution is also obtained. We perform classical estimation of parameters by using the technique of maximum likelihood estimate. We apply it to two real datasets and show that it provides better fit than other well known distributions.

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Published

2020-03-26

How to Cite

Modi, K. ., Kumar, D. ., & Singh, Y. . (2020). A New Family of Distribution with Application on Two Real Datasets on Survival Problem. Science & Technology Asia, 25(1), 1–10. Retrieved from https://ph02.tci-thaijo.org/index.php/SciTechAsia/article/view/240312

Issue

Section

Physical sciences