Evidence map›Paper›PMID 36595502›Full record

ArticlePloS one2023

Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.

Muqrin A Almuqrin, Salemah A Almutlak, Ahmed M Gemeay, Ehab M Almetwally, Kadir Karakaya, Nicholas Makumi, Eslam Hussam, Ramy Aldallal

Abstract read
In one paragraph

Article in PloS one, 2023. 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

8 authors.

Muqrin A AlmuqrinDepartment of Mathematics, Faculty of Science in Zulfi, Majmaah University, Al Majma'ah, Kingdom of Saudi Arabia.
Salemah A AlmutlakDepartment of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh, Saudi Arabia.
Ahmed M GemeayDepartment of Mathematics, Faculty of Science, Tanta University, Tanta, Egypt.ORCID 0000-0001-6767-4016
Ehab M AlmetwallyFaculty of Business Administration, Delta University of Science and Technology, Gamasa, Egypt.
Kadir KarakayaDepartment of Statistics, Faculty of Sciences, Selçuk University, Konya, Turkey.
Nicholas MakumiPan African University, Institute for Basic Sciences, Technology and Innovation (PAUSTI), Nairobi, Kenya.ORCID 0000-0001-7118-8563
Eslam HussamDepartment of Mathematics, Faculty of Science, Helwan University, Cairo, Egypt.
Ramy AldallalDepartment of Accounting, College of Business Administration in Hawtat Bani Tamim, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.ORCID 0000-0002-1432-1636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the course of this research, we came up with a brand new distribution that is superior; we then presented and analysed the mathematical properties of this distribution; finally, we assessed its fuzzy reliability function. Because the novel distribution provides a number of advantages, like the reality that its cumulative distribution function and probability density function both have a closed form, it is very useful in a wide range of disciplines that are related to data science. One of these fields is machine learning, which is a sub field of data science. We used both traditional methods and Bayesian methodologies in order to generate a large number of different estimates. A test setup might have been carried out to assess the effectiveness of both the classical and the Bayesian estimators. At last, three different sets of Covid-19 death analysis were done so that the effectiveness of the new model could be demonstrated.

Indexed as

COVID-19Bayes TheoremHumansLikelihood FunctionsReproducibility of Results

Identifiers

PMID36595502
PMCPMC9810183

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.