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Atika Ahmad
Mathematics Department Universitas Negeri Padang
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Estimasi Bayes pada Distribusi Pareto dengan Data Tersensor Tipe II Atika Ahmad; Nonong Amalita
Journal of Mathematics UNP Vol 3, No 2 (2018): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (833.264 KB) | DOI: 10.24036/unpjomath.v3i2.4673

Abstract

Abstract Parameter’s estimation is used to estimate the parameter values of a discrete distribution as well as a continuous distribution. One form of continuous distribution is the Pareto distribution, where the Pareto distribution has parameters, they are theta dan lambda. The method used to estimate parameters is Bayes estimation. Bayes Estimation has its own way of determining the initial distribution form (prior) and posterior distribution. Parameter’s estimations are also used in one statistical analysis technique that investigates the survival of an  product or individual. The life test data used is type II censored data where the experiment will be stopped after getting r data. This reseach aims to determine the form of parameter estimators and in the Pareto distribution on type II censored data using Bayes estimation. The results in this reseach obtained the form of posterior distribution from Pareto distribution on type II censored data and form of estimator theta dan lambda.
Co-Authors Nonong Amalita