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Information Journal Paper

Title

ROBUST BAYESIAN ANALYSIS AND ITS APPLICATION IN ESTIMATION OF PREMIUM

Pages

  843-860

Abstract

 In the Bayesian framework, robust Bayesian methods concern on estimation of unknown parameters, or prediction of future observation, by specifying a class of priors instead of a single prior. Robust Bayesian methods have been used extensively in actuarial sciences for estimation of premium and prediction of future claim size. In this paper we consider robust Bayes estimation of premium and prediction of future claim size under two classes of prior distribution and under the scale invariant squared error loss function. Finally, by a simulation study and using prequential analysis, we compare the obtained robust Bayes estimators of future claim size.

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    APA: Copy

    NEMATOLLAHI, NADER, & KIAPOUR, AZADEH. (2013). ROBUST BAYESIAN ANALYSIS AND ITS APPLICATION IN ESTIMATION OF PREMIUM. JOURNAL OF SCIENCE (KHARAZMI UNIVERSITY), 13(3), 843-860. SID. https://sid.ir/paper/43897/en

    Vancouver: Copy

    NEMATOLLAHI NADER, KIAPOUR AZADEH. ROBUST BAYESIAN ANALYSIS AND ITS APPLICATION IN ESTIMATION OF PREMIUM. JOURNAL OF SCIENCE (KHARAZMI UNIVERSITY)[Internet]. 2013;13(3):843-860. Available from: https://sid.ir/paper/43897/en

    IEEE: Copy

    NADER NEMATOLLAHI, and AZADEH KIAPOUR, “ROBUST BAYESIAN ANALYSIS AND ITS APPLICATION IN ESTIMATION OF PREMIUM,” JOURNAL OF SCIENCE (KHARAZMI UNIVERSITY), vol. 13, no. 3, pp. 843–860, 2013, [Online]. Available: https://sid.ir/paper/43897/en

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