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Nonparametric Estimators of a Distribution Function Base on Mixtures of Gamma Distributions
function hn(t)=log,(E(exp(tZn))) we find that An(t)= .s × (tl~.)2 × ^ .,{~(0,t~;lu-~/2)) where ~(0,t~;~n-~l ... true for the moment-type estimator. o • kda(~/~S~)= .~ ~*~C(~)= Proof: Let k-=l,...,2p-1. Then rhk= ...Description: This paper investigates nonparametric estimators of the distribution function that are based on mixtures of gamma distributions when we have a random sample from a continuous distribution function. From Actuarial Research Clearing House 1993, VOL. 3.
Hide- Authors: Jacques F Carriere
- Date: Jan 1993
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Modeling & Statistical Methods
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Panel Discussion: Actuaries and the Academic Community
Panel Discussion: Actuaries and the Academic Community Presented at 1983 Actuarial Research ... problems that confront the octuary in dealing with mortality data and some of these problems do have analogues ...Description: Presented at 1983 Actuarial Research Conference. Discussion focuses on improving coordination between practicing actuaries, academic actuaries and non-actuarial academics. The situations in Canada and the UK are also discussed. The emphasis is on research and communications among the different parties.
Hide- Authors: Arnold Shapiro
- Date: Jan 1983
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Actuarial Profession>Academic partnerships; Actuarial Profession>Professional development