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  • Using the Weibull Distribution

    Reliability, Modeling, and Inference

    par John I. McCool ...
    Collections Livre 950 - Wiley Series in Probability and Statistics
    Understand and utilize the latest developments in Weibull inferential methodsWhile the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability, Modeling, and Inference fills a gap in the current literature on the topic, introducing a self ... En savoir plus

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  • Fluke

    The Math and Myth of Coincidence

    par Joseph Mazur ...
    A mathematical guide to understanding why life can seem to be one big coincidence-and why the odds of just about everything are better than we would think.What are the chances? This is the question we ask ourselves when we encounter the strangest and most seemingly impossible coincidences, like the woman who won the lottery four times or the fact that Lincoln's dreams foreshadowed his own ... En savoir plus

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  • Chances Are . . .

    Adventures in Probability

    A compelling journey through history, mathematics, and philosophy, charting humanitys struggle against randomnessOur lives are played out in the arena of chance. However little we recognize it in our day-to-day existence, we are always riding the odds, seeking out certainty but settling-reluctantly-for likelihood, building our beliefs on the shadowy props of probability. Chances Are is the story ... En savoir plus

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  • The Norm Chronicles

    Stories and Numbers About Danger and Death

    Is it safer to fly or take the train? How dangerous is skydiving? And is eating that extra sausage going to kill you? We've all heard the statistics for risky activities, but what do they mean in the real world? In The Norm Chronicles, journalist Michael Blastland and risk expert David Spiegelhalter explore these questions through the stories of average Norm and an ingenious measurement called the ... En savoir plus

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  • Exploring Monte Carlo Methods

    Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to be known as "Monte Carlo." The book treats the subject generically through the first eight chapters and, thus, should be of use to anyone who wants to learn to use Monte Carlo. The next two chapters focus on applications in nuclear engineering, which are illustrative of uses in other fields. Five ... En savoir plus

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  • Methods of Multivariate Analysis

    Collections Livre 709 - Wiley Series in Probability and Statistics
    Praise for the Second Edition"This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere."-IIE TransactionsFilled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data ... En savoir plus

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  • Understanding Uncertainty

    Collections series Wiley Series in Probability and Statistics
    Praise for the First Edition"...a reference for everyone who is interested in knowing and handling uncertainty."—Journal of Applied StatisticsThe critically acclaimed First Edition of Understanding Uncertainty provided a study of uncertainty addressed to scholars in all fields, showing that uncertainty could be measured by probability, and that probability obeyed three basic rules that enabled ... En savoir plus

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  • Bayesian Inference for Probabilistic Risk Assessment

    A Practitioner's Guidebook

    Collections series Springer Series in Reliability Engineering
    Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemented using custom-written routines or existing general purpose commercial or open-source software. ... En savoir plus

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  • Probability

    With Applications and R

    An introduction to probability at the undergraduate levelChance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability.With real-life examples and thoughtful exercises from fields as diverse as biology, ... En savoir plus

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  • Recent Advances in Multi-state Systems Reliability

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    Collections series Engineering (R0)
    This book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years. It offers an up-to-date overview of the latest developments in reliability theory for multi-state systems, engineering applications to a variety of technical problems, and case studies that will be of interest to reliability engineers and ... En savoir plus

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  • Integrated Catastrophe Risk Modeling

    Supporting Policy Processes

    Collections series Earth and Environmental Science (R0)
    Efficient and equitable policies for managing disaster risks and adapting to global environmental change are critically dependent on development of robust options supported by integrated modeling.The book is based on research and state-of-the art models developed at IIASA (International Institute for Applied Systems Analysis) and within its cooperation network. It addresses the methodological ... En savoir plus

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  • Stochastic Reliability and Maintenance Modeling

    Essays in Honor of Professor Shunji Osaki on his 70th Birthday

    Modifié par Tadashi Dohi, Toshio Nakagawa ...
    Collections series Engineering (R0)
    In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance evaluation, software engineering, communication engineering, distinguished researchers review and ... En savoir plus

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