Probability, Random Variables, Statistics, and Random Processes:
Fundamentals & Applications is a comprehensive
undergraduate-level textbook. With its excellent topical coverage,
the focus of this book is on the basic principles and practical
applications of the fundamental concepts that are extensively used
in various Engineering disciplines as well as in a variety of
programs in Life and Social Sciences. The text provides students
with the requisite building blocks of knowledge they require to
understand and progress in their areas of interest. With a simple,
clear-cut style of writing, the intuitive explanations, insightful
examples, and practical applications are the hallmarks of this
book. The text consists of twelve chapters divided into four parts.
Part-I, Probability (Chapters 1 - 3), lays a solid groundwork for
probability theory, and introduces applications in counting,
gambling, reliability, and security. Part-II, Random Variables
(Chapters 4 - 7), discusses in detail multiple random variables,
along with a multitude of frequently-encountered probability
distributions. Part-III, Statistics (Chapters 8 - 10), highlights
estimation and hypothesis testing. Part-IV, Random Processes
(Chapters 11 - 12), delves into the characterization and processing
of random processes. Other notable features include: Most of the
text assumes no knowledge of subject matter past first year
calculus and linear algebra With its independent chapter structure
and rich choice of topics, a variety of syllabi for different
courses at the junior, senior, and graduate levels can be supported
A supplemental website includes solutions to about 250 practice
problems, lecture slides, and figures and tables from the text
Given its engaging tone, grounded approach, methodically-paced
flow, thorough coverage, and flexible structure, Probability,
Random Variables, Statistics, and Random Processes: Fundamentals
& Applications clearly serves as a must textbook for courses
not only in Electrical Engineering, but also in Computer
Engineering, Software Engineering, and Computer Science.
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