Skew Bimodal Power Laplace Distribution: Accepted - July 2025

This article has two goals. The first (main) goal is to introduce a new flexible distribution defined in an infinite domain. This distribution is named the skew bimodal power Laplace distribution. The second (additional) goal is a chronological overview of distributions belonging to the large family of the skew Laplace distributions. Some properties of the proposal such as PDF, CDF, quantiles, generator, moments, skewness, kurtosis and moments of order statistics are presented. The unknown parameters of the new distribution are estimated by the maximum likelihood method. The Shannon entropy and Fisher Information Matrix are also presented. Illustrative examples of applicability and flexibility of the introduced distribution are given. The most important R codes and PDFs of distributions used in real data examples are given in the Appendix.

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Publication Details

Journal
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Published
2025-07-15
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
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article

Skew Bimodal Power Laplace Distribution: Accepted - July 2025

Piotr Sulewski, english english
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Statistical Distribution Estimation and Applications
article

Skew Bimodal Power Laplace Distribution: Accepted - July 2025

Piotr Sulewski, english english
article en

Abstract

This article has two goals. The first (main) goal is to introduce a new flexible distribution defined in an infinite domain. This distribution is named the skew bimodal power Laplace distribution. The second (additional) goal is a chronological overview of distributions belonging to the large family of the skew Laplace distributions. Some properties of the proposal such as PDF, CDF, quantiles, generator, moments, skewness, kurtosis and moments of order statistics are presented. The unknown parameters of the new distribution are estimated by the maximum likelihood method. The Shannon entropy and Fisher Information Matrix are also presented. Illustrative examples of applicability and flexibility of the introduced distribution are given. The most important R codes and PDFs of distributions used in real data examples are given in the Appendix.

Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Openalex Percentile: Top 22%
Statistical Distribution Estimation and Applications
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