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...

Collaborative robotic systems will be a key enabling technology for current and future industrial applications. The main aspect of such applications is to guarantee safety humans. To detect hazardous situations, commercially available rely on direct physical contact the co-working person. further advance this technology, there are multiple efforts develop predictive capabilities systems. Using ...

Abstract This paper provides a review of the literature regarding methods for constructing prediction intervals counting variables, with particular focus on those whose distributions are Poisson or derived from and an over‐dispersion property. Independent identically distributed models regression both considered. The motivating problem this is that predicting number daily cumulative cases death...