Evidence map›Paper›PMID 39309821›Full record

ArticleHeliyon2024

A novel two-parameter unit probability model with properties and applications.

Zawar Hussain, Farrukh Jamal, Abdus Saboor, Shakaiba Shafiq, Arshid Khan, Shahida Perveen, Fuad A Awwad, Emad A A Ismail, Musharraf Ali

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 authors.

Zawar HussainDepartment of Statistics, The Islamia University of Bahawalpur, Punjab 63100, Pakistan.
Farrukh JamalDepartment of Statistics, The Islamia University of Bahawalpur, Punjab 63100, Pakistan.
Abdus SaboorInstitute of Numerical Sciences, Kohat University of Science & Technology, Kohat, KP, 26000, Pakistan.
Shakaiba ShafiqDepartment of Statistics, The Islamia University of Bahawalpur, Punjab 63100, Pakistan.
Arshid KhanInstitute of Numerical Sciences, Kohat University of Science & Technology, Kohat, KP, 26000, Pakistan.
Shahida PerveenInstitute of Numerical Sciences, Kohat University of Science & Technology, Kohat, KP, 26000, Pakistan.
Fuad A AwwadDepartment of Quantitative Analysis, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh 11587, Saudi Arabia.
Emad A A IsmailDepartment of Quantitative Analysis, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh 11587, Saudi Arabia.
Musharraf AliDepartment of Mathematics, G.F. College, Shahjahanpur, Affiliated M.J.P. Rohilkhand University, Bareilly, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper develops a novel two-parameter unit probability model which is the generalized form Kumaraswami distribution that exhibits greater flexibility compared to well-known existing distributions, attributed to its distinct hazard and density function shapes. Extensive analysis has been conducted to explore numerous statistical features of the specified distribution, specifically moments, and order statistics providing explicit expressions for these measures. The maximum likelihood estimation is employed to estimate the model parameters and a numerical simulation analysis confirms the consistency of this estimation approach. Furthermore, the applicability of the specified model is demonstrated by considering four real data sets, showcasing its effectiveness in capturing the characteristics of real life data. The proposed model shows promise as a versatile tool for analyzing diverse data sets in a wide range of fields.

Indexed as

60E0562E15Maximum likelihood methodNTPUP modelOrder statisticsSimulation analysis

Identifiers

PMID39309821
PMCPMC11414500

What OpenQuestion holds

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LicenceCC BY-NC
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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.