576 pages | 120 B/W Illus.
Featuring recent advances in probability, statistics, and stochastic processes, this new textbook presents Probability and Statistics, and an introduction to Stochastic Processes. The book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application. The purpose of this book is to provide an option that combines these areas into one resource, balancing both theory, practical applications, and also keeping the practitioners in mind.
Basic Probability and Descriptive Statistics. Probability Distribution Functions. Random Vectors. Inferential Statistics. Regression and Correlation. Non-parametric Statistics. Stochastic Processes. Appendix A.1. Introduction to R Programming.
The aim of this new book series is to publish the research studies and articles that bring up the latest development and research applied to mathematics and its applications in the manufacturing and management sciences areas. Mathematical tool and techniques are the strength of engineering sciences. They form the common foundation of all novel disciplines as engineering evolves and develops. The series will include a comprehensive range of applied mathematics and its application in engineering areas such as optimization techniques, mathematical modelling and simulation, stochastic processes and systems engineering, safety-critical system performance, system safety, system security, high assurance software architecture and design, mathematical modelling in environmental safety sciences, finite element methods, differential equations, reliability engineering, etc.