Displaying similar documents to “Theoretical and practical considerations regarding bonus-malus system.”

Mixed Negative Binomial Distribution by Weighted Gamma Mixing Distribution Смесено отрицателно биномно разпределение с претеглено гама смесващо разпределение

Stoynov, Pavel (2011)

Union of Bulgarian Mathematicians

Similarity:

Павел Т. Стойнов - В тази работа се разглежда отрицателно биномното разпределение, известно още като разпределение на Пойа. Предполагаме, че смесващото разпределение е претеглено гама разпределение. Изведени са вероятностите в някои частни случаи. Дадени са рекурентните формули на Панжер. In this paper the mixed negative binomial distribution, known also as P´olya distribution is considered. We suppose that the mixing distribution is a weighted Gamma distribution. We derive...

The extreme value Birnbaum-Saunders model, its moments and an application in biometry

M. Ivette Gomes, Marta Ferreira, Víctor Leiva (2012)

Biometrical Letters

Similarity:

The Birnbaum-Saunders (BS) model is a life distribution that has been widely studied and applied. Recently, a new version of the BS distribution based on extreme value theory has been introduced, named the extreme value Birnbaum-Saunders (EVBS) distribution. In this article we provide some further details on the EVBS models that can be useful as a supplement to the existing results. We use these models to analyse real survival time data for patients treated with alkylating agents for...

Bivariate negative binomial distribution of the Marshall-Olkin type

Ilona Kopocińska (1999)

Applicationes Mathematicae

Similarity:

The bivariate negative binomial distribution is introduced using the Marshall-Olkin type bivariate geometrical distribution. It is used to the estimation of the distribution of the number of accidents in standard data.

Bayes robustness via the Kolmogorov metric

Agata Boratyńska, Ryszard Zieliński (1993)

Applicationes Mathematicae

Similarity:

An upper bound for the Kolmogorov distance between the posterior distributions in terms of that between the prior distributions is given. For some likelihood functions the inequality is sharp. Applications to assessing Bayes robustness are presented.