November 16, 2024
Morad Alizadeh

Morad Alizadeh

Academic Rank: Assistant professor
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Degree: Ph.D in Statistics
Phone: 0
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title A New Lindley Extension:Estimation,Risk Assessment and Analysis Under Bimodal Right Skewed Precipitation Data
Type Article
Keywords
Cramér–von–Mises · Cullen–Frey plot · Key risk indicators · Modified Lindley · Risk exposure · Value-at-risk
Journal Annals of Data Science
DOI https://doi.org/10.1007/s40745-023-00485-1
Researchers Majid Hashempour (First researcher) , Morad Alizadeh (Second researcher) , Haitham Yousof (Third researcher)

Abstract

The objectives of this study are to propose a new two-parameter lifespan distribution and explain some of the most essential properties of that distribution. Through the course of this investigation, we will be able to achieve both of these objectives. For the aim of assessment, research is carried out that makes use of simulation, and for the samereason,avarietyofvariousapproachesarestudiedandtakenintoaccountforthe purposeofevaluation.Makinguseoftwoseparatedatacollectionsenablesananalysis of the adaptability of the suggested distribution to a number of different contexts. The risk exposure in the context of asymmetric bimodal right-skewed precipitation data was further defined by using five essential risk indicators, such as value-at-risk, tail- value-at-risk, tail variance, tail mean–variance, and mean excess loss function. This was done in order to account for the right-skewed distribution of the data. In order to examinethedata,severalriskindicatorswereutilized.Theseriskindicatorswereused in order to achieve a more in-depth description of the risk exposure that was being faced.