Quantile Based Reliability Analysis by Nair Unnikrishnan (35 results)
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Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, GermanyUniversitätsbuchhandlung Herta Hold GmbH
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XX, 397 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Statistics for Industry and Technology. Sprache: Englisch.
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Quantile-Based Reliability Analysis (Statistics for Industry and Technology)
N. Unnikrishnan Unnikrishnan Nair, P.G. Sankaran, N. Balakrishnan
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Condition: 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.…paperback. . . . .
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Condition: 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: 240 x 161 x 27. Weight in Grams: 762. . 2013. 2013th Edition. hardcover. . . . .
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Condition: New. pp. 417 Softcover reprint of the original 1st ed. 2013 edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: 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 e…quivalent 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.
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Condition: 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.…paperback. . . . . Books ship from the US and Ireland.
- Softcover
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Paperback. Condition: Brand New. reprint edition. 417 pages. 9.25x6.10x0.95 inches. In Stock.
- Hardcover
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Condition: 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: 240 x 161 x 27. Weight in Grams: 762. . 2013. 2013th Edition. hardcover. . . . . Books ship fr…om the US and Ireland.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: 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 Be…rlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
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- Softcover
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- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a fresh approach to reliability theory, an area that has gained increasing relevance in fields from statistics and engineering to demography and insurance. Its innovative use of quantile functions gives an analysi…s of lifetime data that is generally simpler, more robust, and more accurate than the traditional methods, and opens the door for further research in a wide variety of fields involving statistical analysis. In addition, the book can be used to good effect in the classroom as a text for advanced undergraduate and graduate courses in Reliability and Statistics. 420 pp. Englisch.
- Hardcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This concise text provides a fresh approach to reliability theory, an area that has gained relevance in fields from statistics and engineering to demography and insurance. Unlike other works on this topic, most of which rely on distributio…n functions for their analysis, this book focuses on applying quantile function models to lifetime data. This reformulated perspective proves at once simpler, more robust, and more accurate than the conventional alternative. The book's innovative methodology is laid out in a well-organized, logically-structured 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 Theory 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. 420 pp. Englisch.
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Condition: New. Print on Demand pp. 417.
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Condition: New. Print on Demand pp. 420 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 417.
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 420.
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. nach der Bestellung gedruckt 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 mathematical…ly equivalent 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.
