TY - JOUR JF - srtc-jsri JO - JSRI VL - 10 IS - 1 PY - 2013 Y1 - 2013/9/01 TI - Analysis of Record Data from the Scaled Logistic Distribution TT - تحلیل داده‌های رکوردی از توزیع لوژستیک با پارامتر مقیاس N2 - In this paper, we consider the estimation of the unknown parameter of the scaled logistic distribution on the basis of record values. The maximum likelihood method does not provide an explicit estimator for the scale parameter. In this article, we present a simple method of deriving an explicit estimator by approximating the likelihood function. Bayes estimator is obtained using importance sampling. Asymptotic confidence intervals, bootstrap confidence interval and credible interval are also proposed. Monte Carlo simulations are performed to compare the different proposed methods. Analysis of one real data set is also given for illustrative purposes. SP - 41 EP - 62 AU - Asgharzadeh, A. AU - Abdi, M. AU - valiollahi, R. AD - KW - Bayes estimation KW - maximum likelihood estimation KW - Monte Carlo simulation KW - record values KW - importance sampling UR - http://jsri.srtc.ac.ir/article-1-54-en.html DO - 10.18869/acadpub.jsri.10.1.41 ER -