- Autor
- Dar Showkat Ahmad (Department of Statistics, University of Kashmir, India), Hassan Anwar (University of Kashmir, India), Ahmad Peer Bilal (Department of Mathematical Sciences, Islamic University of Science & Technology, Awantipora, Pulwama, India), Wani Sameer Ahmad (Department of Statistics, University of Kashmir, India)
- Tytuł
- A New Count Data Model Applied in the Analysis of Vaccine Adverse Events and Insurance Claims
- Źródło
- Statistics in Transition, 2021, vol. 22, nr 3, s. 157-174, tab., wykr., bibliogr. 14 poz.
- Słowa kluczowe
- Rozkład Poissona, Metoda największej wiarygodności, Funkcje
Poisson distribution, Maximum likelihood estimation, Functions - Uwagi
- summ.
- Abstrakt
- 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.(original abstract)
- Dostępne w
- Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach - Pełny tekst
- Pokaż
- Bibliografia
-
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- Cytowane przez
- ISSN
- 1234-7655
- Język
- eng
- URI / DOI
- http://dx.doi.org/10.21307/stattrans-2021-032
