Many books are already available on the general topic of
'probability and statistics for engineers and scientists', so why
choose this one? This textbook differs in that it has been prepared
very much with students and their needs in mind. Having been
classroom tested over many years, it is a true "learner's book"
made for students who require a deeper understanding of probability
and statistics and the process of model selection, verification and
analysis. Emphasising both sound development of the principles and
their engineering applications, this book offers purposely selected
practical examples from many different fields.
This textbook: Presents a sound treatment of the fundamentals in
probability and statistics. Explains the concept of probabilistic
modelling and the process of model selection, verification and
analysis. Provides self-contained material with smooth and logical
transition from chapter to chapter. Includes relevant and
motivational applications in every chapter with numerous examples
and problems. Demonstrates practical problem solving throughout the
book with stimulating exercises, including answers to selected
problems. Includes an accompanying online Solutions Manual for
instructors with complete step-by-step solutions to all problems.
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"Fundamentals In Applied Probability And Statistics For
Engineers" provides invaluable support for all engineering students
involved in applications of probability, random variables and
statistical inference. This book is also an ideal reference for
lecturers, educators and newcomers to the field who wish to
increase their knowledge of fundamental concepts. Engineering
consulting firms will also find the explanationsand examples
useful.
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