Tsallis Entropy for Loss Models and Survival Models Involving Truncated and Censored Random Variables.

Vasile Preda, Silvia Dedu, Iuliana Iatan, Ioana Dănilă Cernat, Muhammad Sheraz

Abstract read

In one paragraph

Article in Entropy (Basel, Switzerland), 2022. 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.

Information and Divergence Measures.Entropy (Basel, Switzerland) · 2023
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.

Vasile Preda"Gheorghe Mihoc-Caius Iacob" Institute of Mathematical Statistics and Applied Mathematics, 050711 Bucharest, Romania.ORCID 0000-0002-0686-3718

Silvia Dedu"Costin C. Kiriţescu" National Institute of Economic Research, 050711 Bucharest, Romania.ORCID 0000-0001-7195-0941

Iuliana IatanDepartment of Mathematics and Computer Science, Technical University of Civil Engineering, 020396 Bucharest, Romania.

Ioana Dănilă CernatFaculty of Mathematics and Computer Science, University of Bucharest, Academiei 14, 010014 Bucharest, Romania.ORCID 0000-0003-3142-2225

Muhammad SherazInstitute of Business Administration Karachi, Department of Mathematical Sciences, School of Mathematics and Computer Science, Karachi 75270, Pakistan.ORCID 0000-0002-9213-0616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this paper consists in developing an entropy-based approach to risk assessment for actuarial models involving truncated and censored random variables by using the Tsallis entropy measure. The effect of some partial insurance models, such as inflation, truncation and censoring from above and truncation and censoring from below upon the entropy of losses is investigated in this framework. Analytic expressions for the per-payment and per-loss entropies are obtained, and the relationship between these entropies are studied. The Tsallis entropy of losses of the right-truncated loss random variable corresponding to the per-loss risk model with a deductible

Indexed as

censoringloss modelsproportional hazard modelproportional reversed hazard modelrisk assessmentsurvival modelstruncationTsallis entropy measures

Identifiers

PMID36421509

DOI10.3390/e24111654

PMCPMC9689868

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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.