Fundamentals Of Probability With Stochastic Processes 3rd Edition
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Fundamentals of Probability
Fundamentals of Probability with Stochastic Processes, Third Edition teaches probability in a natural way through interesting and instructive examples and exercises that motivate the theory, definitions, theorems, and methodology. The author takes a mathematically rigorous approach while closely adhering to the historical development of probability
Probability and Stochastic Processes
Author: Roy D. Yates
language: en
Publisher: Wiley Global Education
Release Date: 2013-12-12
This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first seven chapters contain the core material that is essential to any introductory course. In one-semester undergraduate courses, instructors can select material from the remaining chapters to meet their individual goals. Graduate courses can cover all chapters in one semester.
Fundamentals of Probability
Comprehensive and class-tested, this book is designed for a course in Basic Probability to be taken by mathematics, physics, engineering, statistics, actuarial science, operations research, and computer science majors. It assumes a second course in calculus. The aim of the book is to present probability in the most natural way: through a great number of attractive and instructive examples and exercises that motivate the definitions, theorems, and methodology of the theory. Examples and exercises have been very carefully designed to arouse students' curiosity, motivating them to delve into the theory with enthusiasm. Unique discussions of probability problems published in recent journals are featured to stimulate classroom discussion or individual investigation. Over 100 additional exercises and examples, most of which are very applied. Exercises organized into two sections: A and B. A problems are routine; B problems are somewhat challenging. Sections on covariance and correlations have been moved to earlier chapters. Simple probabilistic arguments are presented.