- Tytuł:
- A weighted version of Gamma distribution
- Autorzy:
-
Jain, Kanchan
Singla, Neetu
Gupta, Rameshwar - Powiązania:
- https://bibliotekanauki.pl/articles/729800.pdf
- Data publikacji:
- 2014
- Wydawca:
- Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
- Tematy:
-
gamma distribution
weight function
hazard function
maximum likelihood estimator
Akaike Information criterion - Opis:
- Weighted Gamma (WG), a weighted version of Gamma distribution, is introduced. The hazard function is increasing or upside-down bathtub depending upon the values of the parameters. This distribution can be obtained as a hidden upper truncation model. The expressions for the moment generating function and the moments are given. The non-linear equations for finding maximum likelihood estimators (MLEs) of parameters are provided and MLEs have been computed through simulations and also for a real data set. It is observed that WG fits better than its submodels (WE), Generalized Exponential (GE), Weibull and Exponential distributions.
- Źródło:
-
Discussiones Mathematicae Probability and Statistics; 2014, 34, 1-2; 89-111
1509-9423 - Pojawia się w:
- Discussiones Mathematicae Probability and Statistics
- Dostawca treści:
- Biblioteka Nauki
Artykuł