ESTIMASI PARAMETER MODEL SURVIVAL DISTRIBUSI HELIGMAN-POLLARD DENGAN MENGGUNAKAN METODE BAYESIAN; ESTIMATION PARAMETERS OF HELIGMAN-POLLARD DISTRIBUTION SURVIVAL MODEL BY USING BAYESIAN METHOD

EMILIDHA, WELLA PASCA, Danardono

2016 | Disertasi | FMIPA

In this thesis will be discussed about estimation parameters of Heligman-Pollard distribution survival model by using Bayesian method. Unknown parameters in the Heligman-Pollard distribution survival model can be estimated by using Bayesian methods with the help of IMIS (Incremental Mixture Importance Sampling) with optimization algorithm. Estimation parameters of Heligman-Pollard distribution survival model will be applied to survival data and mortality data of inpatients at RSUD Dr. Soehadi Prijonegoro, Sragen, Central Java in 2010-2014. Parameter estimation results are then used to make projections of the life table. Projections of the life table that has been formed is then used in the implementation in the actuarial field.

Kata Kunci : Heligman-Pollard; Bayesian method; IMIS (Incremental Mixture Importance Sampling) with optimization algorithm; life table