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Methods, and Applications, Third Edition presents an updated and revised look at system reliability theory, modeling, and analytical methods. The;
Vergelijkbare producten zoals System Reliability Theory Models, Statistical Methods, and Applications, Third Edition Wiley Series in Probability and Statistics
Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as;
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engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault;
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Practical Approaches to Reliability Theory in Cutting-Edge Applications Probabilistic Reliability Models helps readers understand and;
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engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault;
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Other volumes in the Wiley Series in Probability and Mathematical Statistics, Ralph A. Bradley, J. Stuart Hunter, David G. Kendall;
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Probability Theory and Statistical Methods for Engineers brings together probability theory with the more practical applications;
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Probability Theory and Statistical Methods for Engineers brings together probability theory with the more practical applications;
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fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use;
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Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on;
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and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and;
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applications of the theory presented Statistical Reliability Engineering is an important professional resource for reliability and design engineers;
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unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations;
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A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications;
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, thus increasing the reliability of fitted models and associated inference. This new, second edition of Robust Statistics: Theory and Methods;
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and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets;
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and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets;
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. Presenting the theory and techniques of statistical inference in a logically integrated and practical form, it covers: The algebra of vectors and;
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continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are;
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between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18;
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between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18;
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Understand Up-to-Date Statistical Techniques for Financial and Actuarial Applications Since the first edition was published, statistical;
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Understand Up-to-Date Statistical Techniques for Financial and Actuarial Applications Since the first edition was published;
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classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and;
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Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical;
Vergelijkbare producten zoals Introduction to Probability and Statistics
Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical;
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and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third;
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