Evidence map›Paper›PMID 38765132›Full record

ArticleHeliyon2024

A statistical framework for a new Kavya-Manoharan Bilal distribution using ranked set sampling and simple random sampling.

Anum Shafiq, Tabassum Naz Sindhu, Muhammad Bilal Riaz, Marwa K H Hassan, Tahani A Abushal

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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

5 authors.

Anum ShafiqSchool of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Tabassum Naz SindhuDepartment of Statistics, Quaid-i-Azam University, Islamabad, 44000, Pakistan.
Muhammad Bilal RiazIT4Innovations, VSB -Technical University of Ostrava, Ostrava, Czech Republic.
Marwa K H HassanDepartment of Mathematics, Faculty of Education, Ain Shams University, Cairo, 11566, Egypt.
Tahani A AbushalDept. of Mathematical Sciences, Umm Al-Qura University, Makkah, 24382, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In survival and stochastic lifespan modeling, numerous families of distributions are sometimes considered unnatural, unjustifiable theoretically, and occasionally superfluous. Here, a novel parsimonious survival model is developed using the Bilal distribution (BD) and the Kavya-Manoharan (KM) parsimonious transformation family. In addition to other analytical properties, the forms of probability density function (PDF) and behavior of the distributions' hazard rates are analyzed. The insights are theoretical as well as practical. Theoretically, we offer explicit equations for the single and product moments of order statistics from Kavya-Manoharan Bilal Distribution. Practically, maximum likelihood (ML) technique, which is based on simple random sampling (SRS) and ranked set sampling (RSS) sample schemes, is employed to estimate the parameters. Numerical simulations are used as the primary methodology to compare the various sampling techniques.

Indexed as

KM transformationRanked set samplingSimulationStatistical modelSurvival function

Identifiers

PMID38765132
PMCPMC11101843

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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.