This paper presents a multiple artificial neural networks (MANN) method with interaction noise for estimating the occurrence probabilities of different classes at any site in space. The MANN consists of several independent artificial neural networks, the number of which is determined by the neighbors around the target location. In the proposed algorithm, the conditional or pre-posterior (multi-...

Validation of gridded precipitation products (GPP) increases the users’ confidence and highlights possible improvements in algorithms to handle complex rain-forming processes. We evaluated skill three GGPs (CHIRPS-v2, CHELSA, TerraClimate) estimating rain gauge observations compared trends derived from these across East Southern Africa (ESA) region. used Taylor diagrams Kling-Gupta Efficiency (...

A meta-analysis was performed on five studies conducted over the last decade to demonstrate a positive effect for the drug Uro-Vaxom compared with Placebo in double-blind studies in patients with urinary tract infection (601 women), with special reference to the prevention of recurrences over an observation period of 6 months, the treatment being given for the first 3 months. The five studies w...

Kendall Rank Correlation Let (X1, Y1), · · · , (Xn, Yn) be a bivariate random sample of size n. The Pearson correlation coefficient provides an optimal measure of the degree of association between the X’s and the Y ’s when the sample is drawn from a bivariate normal distribution. The Pearson correlation coefficient is reasonably robust for many other distributions as well. The Kendall correlati...

This study aims to determine the relationship between stress levels and online learning system for Muhammadiyah Bengkulu University Nursing Study Program students during COVID-19 pandemic. The research method was analyzed univariately by looking at frequency distribution bivariate analysis using Kendal tau-b correlation test. results showed a of 0.648 with strong direction positive value Sig. (...