Distributional properties of the entropy transformed Weibull distribution and applications to various scientific fields

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F24%3A10256348" target="_blank" >RIV/61989100:27740/24:10256348 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.nature.com/articles/s41598-024-83132-w" target="_blank" >https://www.nature.com/articles/s41598-024-83132-w</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-024-83132-w" target="_blank" >10.1038/s41598-024-83132-w</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Distributional properties of the entropy transformed Weibull distribution and applications to various scientific fields

Popis výsledku v původním jazyce

A novel two-parameter continuous model titled the entropy-transformed Weibull (ET-W) distribution has been developed via the entropy transformation. A new framework has been investigated and found to meet the criteria of the probability function. By significantly improving the functional shape and having the ability to model the most likely form of the hazard rate function, this novel modification has increased the adaptability of typical model. Some of its core characteristics, such as its statistical and computational features, are simply and clearly presented. To examine the ultimate performance of maximum likelihood estimators during the process of estimating model parameters, a comprehensive simulation analysis has been conducted. The effectiveness of the suggested distribution is illustrated through the modeling of real datasets.

Název v anglickém jazyce

Distributional properties of the entropy transformed Weibull distribution and applications to various scientific fields

Popis výsledku anglicky

A novel two-parameter continuous model titled the entropy-transformed Weibull (ET-W) distribution has been developed via the entropy transformation. A new framework has been investigated and found to meet the criteria of the probability function. By significantly improving the functional shape and having the ability to model the most likely form of the hazard rate function, this novel modification has increased the adaptability of typical model. Some of its core characteristics, such as its statistical and computational features, are simply and clearly presented. To examine the ultimate performance of maximum likelihood estimators during the process of estimating model parameters, a comprehensive simulation analysis has been conducted. The effectiveness of the suggested distribution is illustrated through the modeling of real datasets.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Scientific Reports

ISSN

2045-2322

e-ISSN

2045-2322

Svazek periodika

14

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

26

Strana od-do

—

Kód UT WoS článku

001386372800035

EID výsledku v databázi Scopus

2-s2.0-85213715323