Probability Concepts and Theory for Engineers - by Harry Schwarzlander Hardcover

About the Book

"This book aims to get the electrical and electronic engineering student well versed in the 2018machinery' of probability theory"--

Book Synopsis

A thorough introduction to the fundamentals of probability theory

This book offers a detailed explanation of the basic models and mathematical principles used in applying probability theory to practical problems. It gives the reader a solid foundation for formulating and solving many kinds of probability problems for deriving additional results that may be needed in order to address more challenging questions, as well as for proceeding with the study of a wide variety of more advanced topics.

Great care is devoted to a clear and detailed development of the 'conceptual model' which serves as the bridge between any real-world situation and its analysis by means of the mathematics of probability. Throughout the book, this conceptual model is not lost sight of. Random variables in one and several dimensions are treated in detail, including singular random variables, transformations, characteristic functions, and sequences. Also included are special topics not covered in many probability texts, such as fuzziness, entropy, spherically symmetric random variables, and copulas.

Some special features of the book are:

• a unique step-by-step presentation organized into 86 topical Sections, which are grouped into six Parts
• over 200 diagrams augment and illustrate the text, which help speed the reader's comprehension of the material
• short answer review questions following each Section, with an answer table provided, strengthen the reader's detailed grasp of the material contained in the Section
• problems associated with each Section provide practice in applying the principles discussed, and in some cases extend the scope of that material
• an online separate solutions manual is available for course tutors.

The various features of this textbook make it possible for engineering students to become well versed in the 'machinery' of probability theory. They also make the book a useful resource for self-study by practicing engineers and researchers who need a more thorough grasp of particular topics.

From the Back Cover

Probability Concepts and Theory for Engineers

Harry Schwarzlander, Formerly Department of Electrical and Computer Engineering, Syracuse University, Syracuse, NY, USA

A thorough introduction to the fundamentals of probability theory

This book offers a detailed explanation of the basic models and mathematical principles used in applying probability theory to practical problems. It gives the reader a solid foundation for formulating and solving many kinds of probability problems for deriving additional results that may be needed in order to address more challenging questions, as well as for proceeding with the study of a wide variety of more advanced topics.

Great care is devoted to a clear and detailed development of the 'conceptual model' which serves as the bridge between any real-world situation and its analysis by means of the mathematics of probability. Throughout the book, this conceptual model is not lost sight of. Random variables in one and several dimensions are treated in detail, including singular random variables, transformations, characteristic functions, and sequences. Also included are special topics not covered in many probability texts, such as fuzziness, entropy, spherically symmetric random variables, and copulas.

Some special features of the book are:

• a unique step-by-step presentation organized into 86 topical Sections, which are grouped into six Parts
• over 200 diagrams augment and illustrate the text, which help speed the reader's comprehension of the material
• short answer review questions following each Section, with an answer table provided, strengthen the reader's detailed grasp of the material contained in the Section
• problems associated with each Section provide practice in applying the principles discussed, and in some cases extend the scope of that material
• an online separate solutions manual is available for course tutors.

Engineering students using this text will achieve a solid understanding and confidence in applying probability theory. It is also a useful resource for self-study, and for practicing engineers and researchers who need a more thorough grasp of particular topics.

Review Quotes

"After reading some introductory material on conventions and notions, it is possible to use separate chapters as introductions to various ideas. This is how readers should use this book." (Computing Reviews, 1 October 2011)

About the Author

Professor Harry Schwarzlander, Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York, USA
Harry Schwarzlander is Associate Professor Emeritus at Syracuse University and has been with the university since 1964 where he has developed and taught 25 courses to electrical engineering graduate and undergraduate students. He was an Instructor in the Department of Electrical Engineering at Purdue University from 1960 to 1964, and before that, an Engineer and Project Engineer for General Electronic Laboratories, Inc., Cambridge, Massachusetts.
Professor Schwarzlander is a Registered Professional Engineer in New York and a Life Member of IEEE, taking posts as Secretary and Chairman between 1967 and 1969. In 2004 he was awarded Doctor Honoris Causa 'in recognition of outstanding accomplishments, exemplary educational leadership and distinguished service to mankind' by The International Institute for Advanced Studies in Systems Research and Cybernetics. He holds one patent for the RMS-Measuring Voltmeter, 1959.
Currently Executive Director of The New Environment, Inc. and Editor of New Environment Bulletin (the monthly newsletter of the New Environment Association), Professor Schwarzlander has contributed to over 65 publications and presentations. He researches into a range of different areas, including interference testing of electronic equipment and information storage and retrieval.