"Probability Theory and Statistical Methods for Engineers"
describes the fundamental concepts and applications of probability
and statistics. By bringing together modern probability theory with
the more practical applications of statistics, it bridges the gap
between theory and practice. Topics such as, for example, Fourier
transforms and stochastic processes are presented as a series of
methods or recipes which can be applied to specific problems, but
for this they need to be well understood.
This book is essential reading for practicing engineers who need a
sound background knowledge of probabilistic and statistical
concepts and methods of analysis for their everyday work. It is
also a useful guide for graduate engineering students.
General
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