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Further improved recursions for a class of compound Poisson distributions
Authors:Stathis Chadjiconstantinidis
Affiliation:Department of Statistics and Insurance, University of Piraeus, Science, 80 Karaoli & Dimitriou street. T. K. 18534, Piraeus, Greece
Abstract:In the present paper we develop more efficient recursive formulae for the evaluation of the t-order cumulative function Γth(x) and the t-order tail probability Λth(x) of the class of compound Poisson distributions in the case where the derivative of the probability generating function of the claim amounts can be written as a ratio of two polynomials. These efficient recursions can be applied for the exact evaluation of the probability function (given by De Pril [De Pril, N., 1986a. Improved recursions for some compound Poisson distributions. Insurance Math. Econom. 5, 129-132]), distribution function, tail probability, stop-loss premiums and t-order moments of stop-loss transforms of compound Poisson distributions. Also, efficient recursive algorithms are given for the evaluation of higher-order moments and r-order factorial moments about any point for this class of compound Poisson distributions. Finally, several examples of discrete claim size distributions belonging to this class are also given.
Keywords:  mmlsi6"   onclick="  submitCitation('/science?_ob=MathURL&  _method=retrieve&  _eid=1-s2.0-S0167668708000450&  _mathId=si6.gif&  _pii=S0167668708000450&  _issn=01676687&  _acct=C000054348&  _version=1&  _userid=3837164&  md5=12cebd1b3fe42557e34f8fd72e14b576')"   style="  cursor:pointer  "   alt="  Click to view the MathML source"   title="  Click to view the MathML source"  >  formulatext"   title="  click to view the MathML source"  >t-order cumulative distribution function     mmlsi7"   onclick="  submitCitation('/science?_ob=MathURL&  _method=retrieve&  _eid=1-s2.0-S0167668708000450&  _mathId=si7.gif&  _pii=S0167668708000450&  _issn=01676687&  _acct=C000054348&  _version=1&  _userid=3837164&  md5=ece0e43da76bff6da87e80875ce620ce')"   style="  cursor:pointer  "   alt="  Click to view the MathML source"   title="  Click to view the MathML source"  >  formulatext"   title="  click to view the MathML source"  >t-order tail probability   Stop-loss transforms
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