the purpose of this study is to find the percentiles of fuzzy numbersand to demonstrate their applications, which include finding weightedmeans, dispersion indices, and the percentile intervals of fuzzy numbers. thecrisp approximations of fuzzy numbers introduced in this paper are new andinteresting for the comparison of fuzzy environments, such as a variety of economic,financial, and engineeri...

This study offers a new technique for constructing percentile bootstrap intervals to predict the regression of univariate local polynomials. Bootstrap uses resampling derived from paired and residual methods. The main objective this is perform comparative analysis between two methods by considering nominal coverage probability. Resampling nonparametric with return method, where each sample poin...

BACKGROUND A short QT interval, within which an increased risk for atrial fibrillation and/or fatal cardiac arrhythmias occurs, has been difficult to define. METHODS The lower percentiles of a new QTc formula were determined, using a precise mathematical fitting of the QT-heart rate relationship from the ECGs of 13,600 individuals from the NHANES II and III surveys. RESULTS The QTc interval...

Traditional inferential procedures often fail with censored and truncated data, especially when sample sizes are small. In this paper we evaluate the performances of the double and single bootstrap interval estimates by comparing the double percentile (DB-p), double percentile-t (DB-t), single percentile (B-p), and percentile-t (B-t) bootstrap interval estimation methods via a coverage probabil...

BACKGROUND A series of recent papers have reported normative data from the general adult population for commonly used self-report mood scales. AIMS To bring together and supplement these data in order to provide a convenient means of obtaining percentile norms for the mood scales. METHOD A computer program was developed that provides point and interval estimates of the percentile rank corre...

the aim of this paper is to project extreme precipitation events in an arid and a semiarid station. in order to project climate change based on general circulation models (gcms), we have applied lars-wg[1] downscaling tool. this stochastic weather generator down-scaled the climate of two synoptic stations using hadcm3 model and a2 emission scenario for 2040. we extracted extreme precipitation e...

Traditional inferential procedures based on the asymptotic normality assumption such as the Wald often produce misleading inferences when dealing with censored data and small samples. Alternative estimation techniques such as the jackknife and bootstrap percentile allow us to construct the interval estimates without relying on any classical assumptions. Recently, the double bootstrap became pre...