مشخصات پژوهش

عنوان	Statistical inference based on Lindley record data
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Lindley distribution · Maximum likelihood estimation · Moments based estimate · Bayesian estimation and prediction
چکیده	Based on record statistics from Lindley distribution, we consider here the problem of estimating the model parameter and predicting the unobserved records. Frequentist and Bayesian analyses are discussed for making some inferences for the model parameter and prediction of unobserved records. Frequentist methods involving maximum likelihood estimation and moments based estimation and Bayesian sampling-based technique are applied for estimating the unknown shape parameter as well as predicting the future unobserved units. The corresponding point predictors and credible intervals of future record values based on an informative set of records can be developed. Real data analysis has been performed for illustrative purposes.
پژوهشگران	رضا ولی اللهی (نفر چهارم)، محمد رکب (نفر سوم)، عادله فلاح (نفر دوم)، اکبر اصغر زاده (نفر اول)