Improved design of queuing simulation experiments with highly heteroscedastic responses

queueing network;experimental design

Optimal design of simulation experiments with nearly saturated queues

Simulation Models;Interpolation;Queueing Network;Extrapolation

Optimal design of experiments with simulation models of nearly saturated queues

experimental design;simulation models;queueing network;regression analysis

Possibilistic KNN regression using tolerance intervals

International audienceBy employing regression methods minimizing predictive risk, we are usually looking for precise values which tends to their true response value. However, in some situations, it may be more reasonable to predict intervals rather than precise values. In this paper, we focus to find such intervals for the K-nearest neighbors (KNN) method with precise values for inputs and output. In KNN, the prediction intervals are usually built by considering the local probability distribution of the neighborhood. In situations where we do not dispose of enough data in the neighborhood to obtain statistically significant distributions, we would rather wish to build intervals which takes into account such distribution uncertainties. For this latter we suggest to use tolerance intervals to build the maximal specific possibility distribution that bounds each population quantiles of the true distribution (with a fixed confidence level) that might have generated our sample set. Next we propose a new interval regression method based on KNN which take advantage of our possibility distribution in order to choose, for each instance, the value of K which will be a good trade-off between precision and uncertainty due to the limited sample size. Finally we apply our method on an aircraft trajectory prediction problem

Методологія вітчизняної кримінально-правової науки: становлення історичного методу та проблеми наступності

Аналізуються методологічні проблеми кримінально-правової науки, зокрема процес становлення історичного методу та його ролі у вивченні питань наступності в кримінальному праві.Анализируются методологические проблемы уголовно-правовой науки, в частности процесс становления исторического метода и его роли в изучении вопросов преемственности в уголовном праве.The paper is devoted to an analysis of methodological problems of a criminal legal sci­ence, namely, an establishing process of historical method and its role in studying succession issues in a criminal law