9781493951673 - quantile-based reliability analysis (statistics for industry and technology) von nair, n. unnikrishnan unnikrishnan; sankaran, p.g.; balakrishnan, n. (5 Ergebnisse)
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Zustand: New. Series: Statistics for Industry and Technology. Num Pages: 417 pages, 17 black & white illustrations, 3 colour illustrations, biography. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 22. Weight in Grams: 640. . 2016. Softcover reprint of the original 1st ed. 2013. pa…perback. . . . . Books ship from the US and Ireland.
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Paperback. Zustand: Brand New. reprint edition. 417 pages. 9.25x6.10x0.95 inches. In Stock.
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Taschenbuch. Zustand: Neu. Quantile-Based Reliability Analysis | N. Unnikrishnan Nair (u. a.) | Taschenbuch | Statistics for Industry and Technology | xx | Englisch | 2016 | Birkhäuser | EAN 9781493951673 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berl…in, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Quantile-Based Reliability Analysis presents a novel approach to reliability theory using quantile functions in contrast to the traditional approach based on distribution functions. Quantile functions and distribution functions are mathematically equ…ivalent ways to define a probability distribution. However, quantile functions have several advantages over distribution functions. First, many data sets with non-elementary distribution functions can be modeled by quantile functions with simple forms. Second, most quantile functions approximate many of the standard models in reliability analysis quite well. Consequently, if physical conditions do not suggest a plausible model, an arbitrary quantile function will be a good first approximation. Finally, the inference procedures for quantile models need less information and are more robust to outliers. Quantile-Based Reliability Analysis's innovative methodology is laid out in a well-organized sequence of topics, including: Definitions and properties of reliability concepts in terms of quantile functions; Ageing concepts and their interrelationships; Total time on test transforms; L-moments of residual life; Score and tail exponent functions and relevant applications; Modeling problems and stochastic orders connecting quantile-based reliability functions. An ideal text for advanced undergraduate and graduate courses in reliability and statistics, Quantile-Based Reliability Analysis also contains many unique topics for study and research in survival analysis, engineering, economics, and the medical sciences. In addition, its illuminating discussion of the general theory of quantile functions is germane to many contexts involving statistical analysis.
