Evidence map›Paper›PMID 36523461›Full record

ArticlePeerJ2022

Estimation of common percentile of rainfall datasets in Thailand using delta-lognormal distributions.

Warisa Thangjai, Sa-Aat Niwitpong, Suparat Niwitpong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Warisa ThangjaiDepartment of Statistics, Faculty of Science, Ramkhamhaeng University, Bangkok, Thailand.
Sa-Aat NiwitpongDepartment of Applied Statistics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.ORCID 0000-0001-8269-3397
Suparat NiwitpongDepartment of Applied Statistics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.ORCID 0000-0003-3059-1131

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weighted percentiles in many areas can be used to investigate the overall trend in a particular context. In this article, the confidence intervals for the common percentile are constructed to estimate rainfall in Thailand. The confidence interval for the common percentile help to indicate intensity of rainfall. Herein, four new approaches for estimating confidence intervals for the common percentile of several delta-lognormal distributions are presented: the fiducial generalized confidence interval, the adjusted method of variance estimates recovery, and two Bayesian approaches using fiducial quantity and approximate fiducial distribution. The Monte Carlo simulation was used to evaluate the coverage probabilities and average lengths

Indexed as

Models, StatisticalBayes TheoremComputer SimulationProbabilityThailandAdjusted method of variance estimates recoveryAverage lengthsBayesian approachesCommon percentileConfidence intervalsCoverage probabilityFiducial generalized confidence intervalSimulation

Identifiers

PMID36523461
PMCPMC9745915

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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.