Evidence map›Paper›PMID 40479355›Full record

ArticleAnnals of data science2022

The Beta Exponential Power Series Distribution.

Nafiseh Khojastehbakht, Amirhossein Ghatari, Ehsan Bahrami Samani

Abstract read
In one paragraph

Article in Annals of data science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Nafiseh KhojastehbakhtDepartment of Statistics, Shahid Beheshti University, Tehran, Iran.
Amirhossein GhatariDepartment of Statistics, Faculty of Mathematic and Computer Science, Amirkabir University of Technolgy, Tehran, Iran.
Ehsan Bahrami SamaniDepartment of Statistics, Shahid Beheshti University, Tehran, Iran.ORCID 0000-0002-6726-6335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we investigate to propose a new statistical distribution based on power series. We introduce a new family of distributions which are constructed based on a latent complementary risk problem and are obtained by compounding Beta Exponential (BE) and Power Series distributions. The new distribution contains, as special sub-models, several important distributions which are discussed in the literature, such as Beta Exponential Poisson (BEP) distribution, Beta Exponential Geometric (BEG) distribution, Beta Exponential Logarithmic (BEL) distribution, Beta Exponential Binomial (BEB) distribution as special cases. The hazard function of the BEPS distributions can be increasing, decreasing or bathtub shaped among others. The comprehensive mathematical properties of the new distribution is provided such as closed-form expressions for the density, cumulative distribution, survival function, failure rate function, the r-th raw moment, maximum likelihood estimation and also the moments of order statistics. The proposed type of distributions is used to modeling simulated and real datasets.

Indexed as

Beta exponentialHazard functionMaximum likelihood estimationPower series distributions

Identifiers

PMID40479355
PMCPMC9215157

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.