This textbook differs from others in the field 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. It presents the fundamentals of the subject
along with concepts of probabilistic modelling, and the process of model
selection, verification and analysis. Furthermore, the inclusion of
more than 100 examples and 200 exercises (carefully selected from a wide
range of topics), along with a solutions manual for instructors, means
that this text is of real value to students and lecturers across a range
of engineering disciplines.
Key features:
- Presents
the fundamentals in probability and statistics along with relevant
applications.
- Explains
the concept of probabilistic modeling and the process of model selection,
verification and analysis.
- Definitions
and theorems are carefully stated and topics rigorously treated.
- Includes
a chapter on regression analysis.
- Covers
design of experiments.
- Demonstrates
practical problem solving throughout the book with numerous examples and
exercises purposely selected from a variety of engineering fields.
- Includes
an accompanying online Solutions Manual for instructors containing
complete step-by-step solutions to all problems.
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