In this study, a novel general multi-step ahead strategy is developed for forecasting time
series of air pollutants. The values of the predictors at future moments are gathered from …

Context There is data about the existence of some endocrine cells in the epithelial layer of
the bile duct in humans and rats. Objective We evaluated Ghrelin-, Insulin-, Glucagon-and …

Exceeding the norms and limits of atmospheric air pollution causes enormous damage to
the population's health and the environment. Determining the factors affecting air quality is a …

Statistics has wide uses for making the right decisions in various areas of life, because
statistics give a person the knowledge and ability to evaluate data. Through this research …

High levels of air pollution are dangerous to human health, which is a current problem for
densely populated cities worldwide. Studying this problem can help detect pollutants' time …

With the increasing growth of scientific research in the field of physical education and sports
science, the use of statistical software has become obvious. In fact, choosing a type of …

To forecast successfully financial time series data is not a trivial task. This type of data is
characterized by internal complexity, high volatility and hidden stochastic dependencies …

Aim: EEG is an accessible, sensitive and informative method for recording changes in the
bioelectrical activity of the brain in routine neurological clinical practice in a number of acute …