On modeling heavy tailed medical care insurance data via a new member of T-X family

نویسندگان

چکیده

Heavy tailed distributions are worthwhile in modeling heavy data. The researchers often search of such to provide best fit In this article, a new T-X family member called, exponential cosine-X is introduced. A special sub-model the proposed family, cosine Weibull distribution studied detail. Some mathematical properties along with useful series expansion and density functions class obtained. Two characterizations also provided. We consider maximum likelihood Bayesian estimation procedures estimate parameters family. Monti Carlo simulation study done access behavior these estimators. For illustrative purposes, real-life application medical care insurance data set Finally, analysis performance Gibbs sampling for carried out.

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ژورنال

عنوان ژورنال: Filomat

سال: 2022

ISSN: ['2406-0933', '0354-5180']

DOI: https://doi.org/10.2298/fil2206971a