BibTex Citation Data :
@article{Medstat4522, author = {Indria Hazhiah and Sugito Sugito and Rita Rahmawati}, title = {ESTIMASI PARAMETER DISTRIBUSI WEIBULL DUA PARAMETER MENGGUNAKAN METODE BAYES}, journal = {MEDIA STATISTIKA}, volume = {5}, number = {1}, year = {2012}, keywords = {}, abstract = { Interval estimation of a parameter is one part of statistical inference. One of the methods that used is the Bayes method. A Bayesian method is combine prior distribution and distribution of samples, so that the posterior distribution can be obtained. Interval estimation using a method Bayes called credibel interval estimation. In this thesis, the distribution of the sample is used a two-parameter Weibull distribution scale-shape-version of survival distribution (reliability). Data that used are data that is not censored data type and data type II censored if prior distribution using non-informative which of the produce distribution the resulting posterior distribution is gamma distribution. Parameters of the sample distribution that to find out is a parameter that by the parameter c (shape parameter) known while the parameter b (scale parameter) had unknown. Keywords : Bayes Method, Two-Parameters Weibull Distribution , Gamma Distribution, The Estimated Credible Interval.}, issn = {2477-0647}, pages = {27--35} doi = {10.14710/medstat.5.1.27-35}, url = {https://ejournal.undip.ac.id/index.php/media_statistika/article/view/4522} }
Refworks Citation Data :
Interval estimation of a parameter is one part of statistical inference. One of the methods that used is the Bayes method. A Bayesian method is combine prior distribution and distribution of samples, so that the posterior distribution can be obtained. Interval estimation using a method Bayes called credibel interval estimation. In this thesis, the distribution of the sample is used a two-parameter Weibull distribution scale-shape-version of survival distribution (reliability). Data that used are data that is not censored data type and data type II censored if prior distribution using non-informative which of the produce distribution the resulting posterior distribution is gamma distribution. Parameters of the sample distribution that to find out is a parameter that by the parameter c (shape parameter) known while the parameter b (scale parameter) had unknown.
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Proceedings of the 8th International Conference on the Applications of Science and Mathematics
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Exponential Distribution Parameter Estimation with Bayesian SELF Method in Survival Analysis
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