Temat: Poisson distribution - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A new count data model applied in the analysis of vaccine adverse events and insurance claims
Autorzy:: Dar, Showkat Ahmad
Hassan, Anwar
Ahmad, Peer Bilal
Wani, Sameer Ahmad
Powiązania:: https://bibliotekanauki.pl/articles/1827552.pdf
Data publikacji:: 2021-09-06
Wydawca:: Główny Urząd Statystyczny
Tematy:: poisson distribution
weighted exponential distribution
compound distribution
count data
maximum likelihood estimation
Opis:: The article presents a new probability distribution, created by compounding the Poisson distribution with the weighted exponential distribution. Important mathematical and statistical properties of the distribution have been derived and discussed. The paper describes the proposed model's parameter estimation, performed by means of the maximum likelihood method. Finally, real data sets are analyzed to verify the suitability of the proposed distribution in modeling count data sets representing vaccine adverse events and insurance claims.
Źródło:: Statistics in Transition new series; 2021, 22, 3; 157-174
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: The odd power generalized Weibull-G power series class of distributions: properties and applications
Autorzy:: Oluyede, Broderick
Moakofi, Thatayaone
Chipepa, Fastel
Powiązania:: https://bibliotekanauki.pl/articles/2034112.pdf
Data publikacji:: 2022-03-15
Wydawca:: Główny Urząd Statystyczny
Tematy:: Weibull-g distribution
power series
Poisson distribution
logarithmic distribution
maximum likelihood estimation
Opis:: We develop a new class of distributions, namely, the odd power generalizedWeibull-G power series (OPGW-GPS) class of distributions. We present some special classes of the proposed distribution. Structural properties, have also been derived. We conducted a simulation study to evaluate the consistency of the maximum likelihood estimates. Moreover, two real data examples on selected data sets, to illustrate the usefulness of the new class of distributions. The proposed model outperforms several non-nested models on selected data sets.
Źródło:: Statistics in Transition new series; 2022, 23, 1; 89-108
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Zero-modified Poisson-Modification of Quasi Lindley distribution and its application
Autorzy:: Tharshan, Ramajeyam
Wijekoon, Pushpakanthie
Powiązania:: https://bibliotekanauki.pl/articles/2156994.pdf
Data publikacji:: 2022-12-15
Wydawca:: Główny Urząd Statystyczny
Tematy:: over-dispersion
mixed Poisson distribution
PMQL distribution
zero modification
maximum likelihood estimation
Opis:: The Poisson-Modification of Quasi Lindley (PMQL) distribution is a newly introduced mixed Poisson distribution for over-dispersed count data. The aim of this article is to introduce the Zero-modified PMQL (ZMPMQL) distribution as an alternative to the PMQL distribution in order to accommodate zero inflation/deflation. The method of obtaining the ZMPMQL distribution jointly with some of its important properties, namely the probability mass and distribution functions, mean, variance, index of dispersion, and quantile function are presented. Furthermore, some of its special cases are discussed. The maximum likelihood (ML) estimation method is used for the unknown parameter estimation. A simulation study is conducted in order to evaluate the asymptotic theory of the ML estimation method and to show the superiority of the ML method over the method of moments estimation. The applicability of the introduced distribution is illustrated by using a real-world data set.
Źródło:: Statistics in Transition new series; 2022, 23, 4; 113-128
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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