Lambda Exponential Family of Distributions With Properties and Applications

Shahid Mohammad and Kahadawala Cooray

Journal of Probability and Statistics, 2025, vol. 2025, 1-14

Abstract: This research introduces a new family of probability distributions called the lambda exponential (LE) family. These distributions are constructed by multiplying an exponential density function with a continuous cumulative distribution function. A key motivation is obtaining closed-form solutions for the moment-generating function. Various mathematical properties of the LE family are investigated. As a specific case, the inverse Gaussian (IG) cumulative distribution function is used to derive the lambda exponential inverse Gaussian (LE-IG) distribution and study its characteristics. Performance of maximum likelihood estimation is assessed through simulations using the quantile function. To demonstrate flexibility and applicability, the LE family is fitted to two real datasets and compared to other distributions via likelihood methods.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljps:8847851

DOI: 10.1155/jpas/8847851

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