Mathematics and Computer Science: Research Updates Vol. 4

This book covers key areas of mathematics and computer science. The contributions by the authors include Quasi-Rama distribution, order statistics, parameter estimation, Mills ratio, reverse hazard function, Renyi entropy, moment-generating function, Lorenz curves, Fisher’s information matrix, K-Banhatti polynomials, David derived networks, edge degree partition, Anti- -fuzzy subgroup, -fuzzy characteristics group, -Anti- -Fuzzy subgroups, differential equations, exponential smoothing state space model, Kalman filtering, Holt-Winters model, Holt’s linear trend model, simple exponential smoothing, Akaike information criterion, augmented Dickey-Fuller test, semi-prime number, integer distribution, congruence classes, random coefficients, clustered data, multilevel model, efficiency estimation, true random number generators, asymptotic behavior range, random numbers, Mersenne twister, lagged Fibonacci generator, Prng algorithms, routh-Hurwitz criteria, Hopf bifurcation. This book contains various materials suitable for students, researchers, and academicians in the fields of mathematics and computer science.