Temat: Frechet distribution - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Type II Topp-Leone Frechet distribution: properties and applications
Autorzy:: Shanker, Rama
Rahman, Umme Habibah
Powiązania:: https://bibliotekanauki.pl/articles/1917058.pdf
Data publikacji:: 2021-12-08
Wydawca:: Główny Urząd Statystyczny
Tematy:: Frechet distribution
Topp-Leone distribution
reliability properties
applications
Opis:: The paper focuses on type II Topp-Leone Frechet distribution. Its properties including hazard rate function, reverse hazard rate function, Mills ratio, quantile function and order statistics have been studied. The maximum likelihood estimation used for estimating the parameters of the proposed distribution has been explained and expressions for the Fisher information matrix and confidence intervals have been provided. The paper discusses the applications of the distribution for modeling several datasets relating to temperature. Finally, the goodness of fit of the proposed distribution has been compared with that of the Frechet distribution.
Źródło:: Statistics in Transition new series; 2021, 22, 4; 139-152
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Generalised Odd Frechet Family of Distributions: Properties and Applications
Autorzy:: Marganpoor, Shahdie
Ranjbar, Vahid
Alizadeh, Morad
Abdollahnezhad, Kamel
Powiązania:: https://bibliotekanauki.pl/articles/1058928.pdf
Data publikacji:: 2020-09-04
Wydawca:: Główny Urząd Statystyczny
Tematy:: Frechet distribution
Wiebull distribution
structural properties
failure-time
maximum likelihood estimation
Opis:: A new distribution called Generalized Odd Fréchet (GOF) distribution is presented and its properties explored. Some structural properties of the proposed distribution, including the shapes of the hazard rate function, moments, conditional moments, moment generating function, skewness, and kurtosis are presented. Mean deviations, Lorenz and Bonferroni curves, Rényi entropy, and the distribution of order statistics are given. The maximum likelihood estimation technique is used to estimate the model parameters, and finally applications of the model to a real data set are presented to illustrate the usefulness of the proposed distribution.
Źródło:: Statistics in Transition new series; 2020, 21, 3; 109-128
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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