Temat: half-logistic distribution - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The Half-Logistic Odd Power Generalized Weibull-G Family of Distributions
Autorzy:: Peter, Peter O.
Chipepa, Fastel
Oluyede, Broderick
Makubate, Boikanyo
Powiązania:: https://bibliotekanauki.pl/articles/2119924.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: half logistic distribution
half logistic-G distribution
Weibull generalized-G distribution
maximum likelihood estimation
Opis:: We develop and study in detail a new family of distributions called Half- logistic Odd Power Generalized Weibull-G (HLOPGW-G) distribution, which is a linear combination of the exponentiated-G family of distributions. From the special cases considered, the model can fit heavy tailed data and has non-monotonic hazard rate functions. We further assess and demonstrate the performance of this family of distributions via simulation experiments. Real data examples are given to demonstrate the applicability of the proposed model compared to several other existing models.
Źródło:: Central European Journal of Economic Modelling and Econometrics; 2022, 1; 1-35
2080-0886
2080-119X
Pojawia się w:: Central European Journal of Economic Modelling and Econometrics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Analysis of COVID-19 and cancer data using new half-logistic generated family of distributions
Autorzy:: Khan, Sadaf
Tahir, Muhammad H.
Jamal, Farrukh
Powiązania:: https://bibliotekanauki.pl/articles/29127967.pdf
Data publikacji:: 2023
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: half-logistic distribution
generalized family
likelihood estimation
bio-medical data
Frechet distribution
Opis:: We focus on a specific sub-model of the proposed family that we call the new half logistic-Fréchet. This sub-model stems from a new generalisation of the half-logistic distribution which we call the new half-logistic-G. The novelty of proposing this new family is that it does not include any additional parameters and instead relies on the baseline parameter. Standard statistical formulas are used to show the forms of the density and failure rate functions, ordinary and incomplete moments with generating functions, and random variate generation. The maximum likelihood estimation procedure is used to estimate the set of parameters. We conduct a simulation analysis to ensure that our calculations are converging with lower mean square error and biases. We use three real-life data sets to equate our model to well-established existing models. The proposed model outperforms the well-established four parameters beta Fréchet and exponentiated generalized Fréchet for some real- -life results, with three parameters such as half-logistic Fréchet, exponentiated Fréchet, Zografos–Balakrishnan gamma Fréchet, Topp–Leonne Fréchet, and Marshall–Olkin Fréchet and two-parameter classical Fréchet distribution.
Źródło:: Operations Research and Decisions; 2023, 33, 4; 71--95
2081-8858
2391-6060
Pojawia się w:: Operations Research and Decisions
Dostawca treści:: Biblioteka Nauki

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