Evidence map›Paper›PMID 37885711›Full record

ArticleHeliyon2023

Estimation of finite population mean using double sampling under probability proportional to size sampling in the presence of extreme values.

Jing Wang, Sohaib Ahmad, Muhammad Arslan, Showkat Ahmad Lone, A H Abd Ellah, Maha A Aldahlan, Mohammed Elgarhy

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.4field-weighted citation impact, top 4% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

7 authors at 7 institutions in 4 countries.

Jing WangSchool of Economics and Management, Taiyuan Normal University, Jinzhong 030619, China.
Sohaib AhmadDepartment of Statistics, Abdul Wali Khan University, Mardan, Pakistan.
Muhammad ArslanDepartment of Mathematics and Statistics, Institute of Southern Punjab, Pakistan.
Showkat Ahmad LoneDepartment of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh 11673, Saudi Arabia.
A H Abd EllahMathematics Department, Faculty of Science, Al-Baha University, Saudi Arabia.
Maha A AldahlanDepartment of Statisitcs, College of Science, University of Jeddah, Jeddah 23218, Saudi Arabia.
Mohammed ElgarhyMathematics and Computer Science Department, Faculty of Science, Beni-Suef University, Beni-Suef 62521, Egypt.
Abdul Wali Khan University Mardan · PKAl Baha University · SABeni-Suef University · EGJiangsu University · CNSaudi Electronic University · SATaiyuan Normal University · CNUniversity of Jeddah · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Values that are too large or small enough can be found in many data sets. Therefore, the estimator can yield ambiguous findings if several of the incredible deals are picked for the sample. When such extreme values occur, we propose improved estimators to determine the finite population means using double sampling based on probability proportional to size sampling (PPS). The properties of estimators are obtained up to the first order of approximations. When the size of the units varies widely, the PPS sampling technique may be employed. To determine the values of

Indexed as

Auxiliary variableBiasdouble samplingMSEPPSPRE

Identifiers

PMID37885711
PMCPMC10598535
OpenAlexW4387842388

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.