The presence of measurement error is a widespread issue, which, when ignored, can render the results an analysis unreliable. Numerous corrections for effects have been proposed and studied, often under assumption normally distributed, additive measurement-error model. In many situations, observed data are nonsymmetric, heavy-tailed, or otherwise highly non-normal. these settings, correction tec...

Разработка алгоритмической компоновки и программ для расчета многомасштабных процессов горения является актуальной междисциплинарной темой фундаментальных исследований, которая объединяет методы информационных технологий, механики многокомпонентных сплошных сред, химии математического моделирования. Задача разработки подбора набирает актуальность с каждым годом в связи как интенсивным развитием...

Experimental designs that sample both subjects and stimuli from a larger population need to account for random effects of using mixed-effects models. However, much this research is analyzed analysis variance on aggregated responses because researchers are not confident specifying interpreting This Tutorial explains how simulate data with random-effects structure analyze the linear regression (w...

More than 200 papers have been published in the last 20 years on the topic of health supply chains (HSC). Looking at the research methodologies employed, less than 15 papers apply data envelopment analysis (DEA) models. This is in contrast to, for example, A Network Data Envelopment Analysis (NDEA) Model for Supply Chain Performance Evaluation where several reviews on respective NDEA models hav...