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9781848210455 from books.google.com
Now Statistical Reliability Engineering affords engineers a unique opportunity to learn both the theory behind and applications of those statistical methods.
9781848210455 from books.google.com
From there, the text investigates a collection of principal network reliability models, such as terminal connectivity for networks with unre
9781848210455 from books.google.com
New to this edition: over 75 pages of self-assessment questions plus a revised bibliography and references.
9781848210455 from books.google.com
Written with computer scientists and engineers in mind, this book brings queueing theory decisively back to computer science.
9781848210455 from books.google.com
The Handbook's Russian editor and internationally recognized expert Igor A. Ushakov has joined with American engineering professionals to bring this indispensable resource to English-speaking engineers and scientists. 1994 (0-471-57173-3) ...
9781848210455 from books.google.com
This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed.
9781848210455 from books.google.com
The second half of the book focuses on public-key cryptography, beginning with a self-contained introduction to the number theory needed to understand the RSA, Diffie-Hellman, El Gamal, and other cryptosystems.
9781848210455 from books.google.com
The author uses these to provide a clear account of the subject that will be of value to both theoreticians and practitioners." —Dennis V. Lindley "This is a wonderful book—well written, exceptionally wide-ranging in its coverage of ...
9781848210455 from books.google.com
This important book provides an up-to-date comprehensive and down-to-earth survey of the theory and practice of extreme value distributions OCo one of the most prominent success stories of modern applied probability and statistics.
9781848210455 from books.google.com
This book provides recent results on the stochastic approximation of systems by weak convergence techniques.