Autor: Hassan, S.M. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Statistical Properties and Estimation of Power-Transmuted Inverse Rayleigh Distribution
Autorzy:: Hassan, Amal S.
Assar, Salwa M.
Abdelghaffar, Ahmed M.
Powiązania:: https://bibliotekanauki.pl/articles/1058930.pdf
Data publikacji:: 2020-09-04
Wydawca:: Główny Urząd Statystyczny
Tematy:: percentiles
Opis:: A three-parameter continuous distribution is constructed, using a power transformation related to the transmuted inverse Rayleigh (TIR) distribution. A comprehensive account of the statistical properties is provided, including the following: the quantile function, moments, incomplete moments, mean residual life function and Rényi entropy. Three classical procedures for estimating population parameters are analysed. A simulation study is provided to compare the performance of different estimates. Finally, a real data application is used to illustrate the usefulness of the recommended distribution in modelling real data.
Źródło:: Statistics in Transition new series; 2020, 21, 3; 93-107
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Estimation of the density and cumulative distribution functions of the exponentiated Burr XII distribution
Autorzy:: Hassan, Amal S.
Assar, Salwa M.
Ali, Kareem A.
Nagy, Heba F.
Powiązania:: https://bibliotekanauki.pl/articles/1917020.pdf
Data publikacji:: 2021-12-08
Wydawca:: Główny Urząd Statystyczny
Tematy:: exponentiated Burr Type XII model
least squares estimator
maximum likelihood estimator
uniform minimum variance unbiased estimator
weighted least squares estimator
Opis:: The exponentiated Burr Type XII (EBXII) distribution has wide applications in reliability and economic studies. In this article, the estimation of the probability density function and the cumulative distribution function of EBXII distribution is considered. We examine the maximum likelihood estimator, the uniformly minimum variance unbiased estimator, the least squares estimator, the weighted least squares estimator, the maximum product spacing estimator, the Cramér–von-Mises estimator, and the Anderson–Darling estimator. We derive analytical forms for the bias and mean square error. A simulation study is performed to investigate the consistency of the suggested methods of estimation. Data relating to the wind speed and service times of aircraft windshields are used with the studied methods. The simulation studies and real data applications have revealed that the maximum likelihood estimator performs more efficiently than its remaining counterparts.
Źródło:: Statistics in Transition new series; 2021, 22, 4; 171-189
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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