CD Skripsi
Perbandingan Penaksir Parameter Skala Distribusi Weibull Menggunakan Metode Maksimum Likelihood Dan Metode Bayes
This final project considers the estimation of the scale parameter of two
parameters of Weibull distribution with known shape. The estimation
is caried out using the maximum likelihood method and Bayesian method.
Bayes estimator is obtained using Jeffrey’s prior and linear exponential
loss function. Relative efficiency of the estimators are calculated in small
and large samples using simulated data sets. It is observed that Bayes
estimator is better especially in small sample size and when over estimation.
Keywords: Maximum likelihood estimator, Jeffrey’s prior, linear exponential
loss function, relative efficiency, Bayes estimator
Tidak tersedia versi lain