Novel Research Aspects in Mathematical and Computer Science Vol. 7

This book covers key areas of Mathematical and Computer Science. The contributions by the authors include Risk measures, Backtesting, weighted distribution, normal mixture, EM-algorithm, Log-Logistic distribution, parathyroid hormone, fuzzy reliability function, Smart cities, remote health systems, IoT cloud integration, IoT security, Convection-diffusion equation, control volume method, moved node. richardson extrapolation, difference scheme, peclet number, Quadrilateral snake graphs, triangular snake graph, independent domination, path coefficient, Authentic assessment, students’ mathematical problem solving, Markov model, land transportation, expectation-maximization, EM algorithm, Bayesian regression, gaussian process, maximum likelihood, Random matrix theory, Wigner’s law, multivariate distribution, superheat map, eigenvalue distribution, Linear regression model, and triangular decomposition. This book contains various materials suitable for students, researchers and academicians in the field of Mathematical and Computer Science.