A new discrete distribution with actuarial applications

Abstract A new discrete distribution depending on two parameters, α 1 , α ≠ 0 and 0 θ 1 , is introduced in this paper. The new distribution is unimodal with a zero vertex and overdispersion (mean larger than the variance) and underdispersion (mean lower than the variance) are encountered depending on the values of its parameters. Besides, an equation for the probability density function of the compound version, when the claim severities are discrete is derived. The particular case obtained when α tends to zero is reduced to the geometric distribution. Thus, the geometric distribution can be considered as a limiting case of the new distribution. After reviewing some of its properties, we investigated the problem of parameter estimation. Expected frequencies were calculated for numerous examples, including short and long tailed count data, providing a very satisfactory fit.

[1]  Barry C. Arnold,et al.  Advances in Mathematical and Statistical Modeling , 2008 .

[2]  A. Abouammoh On Discrete oc–Unimodality , 1987 .

[3]  G. Willmot On recursive evaluation of mixed poisson probabilities and related quantities , 2011 .

[4]  N. G. Ushakov On discrete unimodality , 1998 .

[5]  Emad-Eldin A. A. Aly,et al.  On discrete α-unimodality , 2003 .

[6]  Univariate and multivariate versions of the negative binomial-inverse Gaussian distributions with applications , 2008 .

[7]  G. Willmot,et al.  Mixed Compound Poisson Distributions , 1986, ASTIN Bulletin.

[8]  Andreas N. Philippou,et al.  A generalized geometric distribution and some of its properties , 1983 .

[9]  Samuel Kotz,et al.  Developments in Discrete Distributions, 1969-1980, Correspondent Paper , 1982 .

[10]  P. Medgyessy On the unimodality of discrete distributions , 1972 .

[11]  A. W. Kemp,et al.  The Discrete Half-Normal Distribution , 2008 .

[12]  On Mixed and Compound Mixed Poisson Distributions , 2004 .

[13]  Harry H. Panjer,et al.  Recursive Evaluation of a Family of Compound Distributions , 1981, ASTIN Bulletin.

[14]  W. D. Warde,et al.  Infinite Divisibility of Discrete Distributions, II , 1971 .

[15]  Stuart A. Klugman,et al.  Loss Models: From Data to Decisions , 1998 .

[16]  Howard R. Waters,et al.  Loss Models: from Data to Decisions. By Stuart Klugman, Harry Panjer and Gordon Willmot [John Wiley & Sons, New York, 1998] , 1999 .

[17]  Frits Beukers,et al.  SPECIAL FUNCTIONS (Encyclopedia of Mathematics and its Applications 71) , 2001 .

[18]  D. Karlis,et al.  Mixed Poisson Distributions , 2005 .

[19]  Gordon E. Willmot,et al.  The Poisson-Inverse Gaussian distribution as an alternative to the negative binomial , 1987 .

[20]  J. Keilson,et al.  Some Results for Discrete Unimodality , 1971 .

[21]  Raluca Vernic,et al.  Recursions for Convolutions and Compound Distributions with Insurance Applications , 2009 .

[22]  E. Gómez-Déniz,et al.  Another generalization of the geometric distribution , 2010 .

[23]  P. C. Consul,et al.  A Generalized Negative Binomial Distribution , 1971 .

[24]  Richard Askey,et al.  Ramanujan's Extensions of the Gamma and Beta Functions , 1980 .