Evidence map›Paper›PMID 38027837›Full record

ArticleHeliyon2023

A new flexible Weibull extension model: Different estimation methods and modeling an extreme value data.

Huda M Alshanbari, Omalsad Hamood Odhah, Hazem Al-Mofleh, Zubair Ahmad, Saima K Khosa, Abd Al-Aziz Hosni El-Bagoury

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In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Huda M AlshanbariDepartment of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Omalsad Hamood OdhahDepartment of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Hazem Al-MoflehDivision of Science and Mathematics, Eureka College, Eureka, IL 61530, USA.
Zubair AhmadDepartment of Statistics, Quaid-i-Azam University, Islamabad 44000, Pakistan.
Saima K KhosaDepartment of Mathematics and Statistics, University of Saskatchewan, Saskatoon, SK, Canada.
Abd Al-Aziz Hosni El-BagouryBasic Sciences Department, Higher Institute of Engineering and Technology, EL-Mahala EL-Kobra, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The word extreme events refer to unnatural or undesirable events. Due to the general destructive effects on society and scientific problems in various applied fields, the study of extreme events is an important subject for researchers. Many real-life phenomena exhibit clusters of extreme observations that cannot be adequately predicted and modeled by the traditional distributions. Therefore, we need new flexible probability distributions that are useful in modeling extreme-value data in various fields such as the financial sector, telecommunications, hydrology, engineering, and meteorology. In this piece of research work, a new flexible probability distribution is introduced, which is attained by joining together the flexible Weibull distribution with the weighted T-

Indexed as

Distributional propertiesEstimationExtreme value theoryFlexible Weibull extension distributionFlood data

Identifiers

PMID38027837
PMCPMC10665740

What OpenQuestion holds

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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.