The Representative Points of Generalized Alpha Skew-

Yong-Feng Zhou, Yu-Xuan Lin, Kai-Tai Fang, Hong Yin

Abstract read

In one paragraph

Article in Entropy (Basel, Switzerland), 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.

A Review: Construction of Statistical Distributions.Entropy (Basel, Switzerland) · 2025
Review

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

4 authors.

Yong-Feng ZhouSchool of Mathematics, Renmin University of China, No. 59, Zhongguancun Street, Haidian District, Beijing 100872, China.

Yu-Xuan LinResearch Center for Frontier Fundamental Studies, Zhejiang Lab, Kechuang Avenue, Zhongtai Sub-District, Yuhang District, Hangzhou 311121, China.ORCID 0000-0002-1295-8094

Kai-Tai FangDepartment of Statistics and Data Science, Faculty of Science and Technology, BNU-HKBU United International College, 2000 Jintong Road, Tangjiawan, Zhuhai 519087, China.

Hong YinSchool of Mathematics, Renmin University of China, No. 59, Zhongguancun Street, Haidian District, Beijing 100872, China.

Funding

China Postdoctoral Science Foundation 2023TQ0326

6 · The paper itself

Abstract

Assuming the underlying statistical distribution of data is critical in information theory, as it impacts the accuracy and efficiency of communication and the definition of entropy. The real-world data are widely assumed to follow the normal distribution. To better comprehend the skewness of the data, many models more flexible than the normal distribution have been proposed, such as the generalized alpha skew-

Indexed as

entropygeneralized alpha skew-t distributionkernel density estimationmaximum likelihood estimationmomentsquasi-Monte Carlorepresentative points

Identifiers

PMID39593834

DOI10.3390/e26110889

PMCPMC11592904

What OpenQuestion holds

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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.