This book covers all areas of mathematics and computer science. The contributions by the authors include bivariate normal distribution; Morgenstern type bivariate logistic distribution; Morgenstern type bivariate exponential distribution; best linear unbiased estimation; coefficient of variation; concomitants of record values; logical reads; numeric data type; SQL performance; textual data type; DBMS; information retrieval; polynomial; polar derivative of a polynomial; maximum modulus; operating system; disk scheduling; seek time; average seek time; FCFS; IFCFS; polynomial Inequalities; maximum modulus; map reduce; Hadoop; distributed computing; Skorohod-Wichura theorem; weak convergence of probability measure; product spaces; arbitrary products; complete spaces; moment problems; ordered Hahn-Banach theorem version; probability measures characterizations by moments; weak convergence using moments; Riemann-Stieltjes integral; Lebesgue-Stieltjes integral; jump points and functions; integrability; integral formulas; Standard Brownian motion; Kolmogorov existence theorem; dyadic numbers; sequential construction; linear and circular consecutive-k-out-of-n system; reliability function; failure rate; shock model; normal distribution; logistic distribution; double exponential distribution; best linear unbiased estimation; coefficient of variation; order statistics; U-statistic estimator; majority judgment; mean-median compromise method etc. This book contains various materials suitable for students, researchers and academicians in the field of mathematics and computer science.
Theory and Practice of Mathematics and Computer Science Vol. 1
Dr. Belkacem Chaouchi, (Editor)
Professor, Department of Mathematics, Faculty of Sciences, Khemis Miliana University, Algeria.
Dr. Belkacem Chaouchi
Book Publisher International
Aug 17, 2020