Evidence map›Paper›PMID 39183875›Full record

ArticleHeliyon2024

Lomax tangent generalized family of distributions: Characteristics, simulations, and applications on hydrological-strength data.

Sajid Mehboob Zaidi, Zafar Mahmood, Mintodê Nicodème Atchadé, Yusra A Tashkandy, M E Bakr, Ehab M Almetwally, Eslam Hussam, Ahmed M Gemeay, Anoop Kumar

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 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

9 authors.

Sajid Mehboob ZaidiDepartment of Statistics, Govt. Graduate College B.R., Bahawalpur, Pakistan.
Zafar MahmoodGovernment SE Graduate college Bahawalpur, Bahawalpur, Pakistan.
Mintodê Nicodème AtchadéNational Higher School of Mathematics Genius and Modelization, National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Republic of Benin.
Yusra A TashkandyDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
M E BakrDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Ehab M AlmetwallyFaculty of Business Administration, Delta University for Science and Technology, Gamasa 11152, Egypt.
Eslam HussamHelwan University, Department of Mathematics, Faculty of Science, Cairo, Egypt.
Ahmed M GemeayDepartment of Mathematics, Faculty of Science, Tanta University, Tanta 31527, Egypt.
Anoop KumarDepartment of Statistics, Faculty of Basic Science, Central University of Haryana, Mahendergarh 123031, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article proposes and discusses a novel approach for generating trigonometric G-families using hybrid generalizers of distributions. The proposed generalizer is constructed by utilizing the tangent trigonometric function and distribution function of base model

Indexed as

BiasCentral, reliability and generating functionsLinear RepresentationLomax distributionMean square errorMoments and its derivativesSimulation study

Identifiers

PMID39183875
PMCPMC11341239

What OpenQuestion holds

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LicenceCC BY
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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.