مشخصات پژوهش

عنوان	Exact nonparametric conditional inference based on k-records, given inter-k-record times
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Inter-k-record times, k-Records, Minimum width confidence interval, Prediction intervals, Rainfall data Tolerance intervals
چکیده	In this paper, we develop exact nonparametric inference for quantiles of the population based on the sequence of k-record values, conditionally on the corresponding observed inter-k-record times, to increase the precision of inference, as compared to nonparametric unconditional procedures. The effect of including the additional information contained in the inter-k-record times is evaluated by means of an empirical study. The conditional tolerance and prediction intervals for a future k-record from another independent sequence are obtained as well. A real data set is also used to illustrate the inferential results developed here.
پژوهشگران	نارایاناسوامی بالاکریشنان (نفر سوم)، مرتضی امینی (نفر دوم)، سیدمحمدتقی کامل میرمصطفائی (نفر اول)