Evidence map›Paper›PMID 39738345›Full record

ArticleScientific reports2024

Distributional properties of the entropy transformed Weibull distribution and applications to various scientific fields.

Tabassum Naz Sindhu, Anum Shafiq, Showkat Ahmad Lone, Qasem M Al-Mdallal, Tahani A Abushal

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tabassum Naz SindhuDepartment of Statistics, Quaid-I-Azam University 45320, Islamabad, 44000, Pakistan.
Anum ShafiqSchool of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Showkat Ahmad LoneDepartment of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh, 11673, Kingdom of Saudi Arabia.
Qasem M Al-MdallalDepartment of Mathematical Sciences, UAE University, P.O. Box 15551, Al-Ain, United Arab Emirates. q.almdallal@uaeu.ac.ae.
Tahani A AbushalDepartment of Mathematical Science, Faculty of Applied Science, Umm Al-Qura University, Mecca, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel two-parameter continuous model titled the entropy-transformed Weibull (ET-W) distribution has been developed via the entropy transformation. A new framework has been investigated and found to meet the criteria of the probability function. By significantly improving the functional shape and having the ability to model the most likely form of the hazard rate function, this novel modification has increased the adaptability of typical model. Some of its core characteristics, such as its statistical and computational features, are simply and clearly presented. To examine the ultimate performance of maximum likelihood estimators during the process of estimating model parameters, a comprehensive simulation analysis has been conducted. The effectiveness of the suggested distribution is illustrated through the modeling of real datasets.

Indexed as

Entropy transformationModelingSimulationSurvival functionWeibull model

Identifiers

PMID39738345
PMCPMC11685511

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Registered trials

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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.