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Polya Type Distributions in Renewal Theory - With an Application to an Inventory Problem (Paperback): Frank Proschan Polya Type Distributions in Renewal Theory - With an Application to an Inventory Problem (Paperback)
Frank Proschan; Foreword by Thomas H Carroll
R534 Discovery Miles 5 340 Ships in 10 - 15 working days

Ford Foundation Doctoral Dissertation Series, 1959 Award Winner.

Mathematical Theory of Reliability (Paperback): Richard E. Barlow, Frank Proschan Mathematical Theory of Reliability (Paperback)
Richard E. Barlow, Frank Proschan; Series edited by Robert O'Malley
R2,192 Discovery Miles 21 920 Ships in 12 - 17 working days

This monograph presents a survey of mathematical models useful in solving reliability problems. It includes a detailed discussion of life distributions corresponding to wearout and their use in determining maintenance policies, and covers important topics such as the theory of increasing (decreasing) failure rate distributions, optimum maintenance policies, and the theory of coherent systems. The emphasis throughout the book is on making minimal assumptions--and only those based on plausible physical considerations--so that the resulting mathematical deductions may be safely made about a large variety of commonly occurring reliability situations. The first part of the book is concerned with component reliability, while the second part covers system reliability, including problems that are as important today as they were in the 1960s. Mathematical reliability refers to a body of ideas, mathematical models, and methods directed toward the solution of problems in predicting, estimating, or optimizing the probability of survival, mean life, or, more generally, life distribution of components and systems. The enduring relevance of the subject of reliability and the continuing demand for a graduate-level book on this topic are the driving forces behind its republication. Mathematical Theory of Reliability now joins a growing list of volumes in SIAM's Classics series. Although contemporary reliability books are now available, few provide as mathematically rigorous a treatment of the required probability background as this one.

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