Autor: Ranjbar, Vahid - Katalog OPAC zbiorów

Skocz do pozycji: 1.

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

Skocz do pozycji: 2.

Tytuł:: Odd log-logistic generalised Lindley distribution with properties and applications
Autorzy:: Ranjbar, Vahid
Eftekharian, Abbas
Kharazmi, Omid
Alizadeh, Morad
Powiązania:: https://bibliotekanauki.pl/articles/18707217.pdf
Data publikacji:: 2023-09-08
Wydawca:: Główny Urząd Statystyczny
Tematy:: Lindley distribution
odd log-logistic generalised family
moments
Bayesian analysis
simulation study
Opis:: In this paper, a new three-parameter lifetime model, called the odd log-logistic generalised Lindley distribution, is introduced. Some structural properties of the new distribution including ordinary and incomplete moments, quantile and generating functions and order statistics are obtained. The new density function can be expressed as a linear mixture of exponentiated Lindley densities. Different methods are discussed to estimate the model parameters and a simulation study is carried out to show the performance of the new distribution. The importance and flexibility of the new model are also illustrated empirically by means of two real data sets. Finally, Bayesian analysis and Gibbs sampling are performed based on the two real data sets.
Źródło:: Statistics in Transition new series; 2023, 24, 4; 71-92
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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