quantile based reliability analysis di nair unnikrishnan (29 risultati)

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.

Buch. Condizione: Neu. Neuware -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 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.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 420 pp. Englisch.

Taschenbuch. Condizione: Neu. Neuware -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 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.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 420 pp. Englisch.

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Taschenbuch. Condizione: 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 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.

Buch. Condizione: 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 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.

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Paperback. Condizione: Brand New. reprint edition. 417 pages. 9.25x6.10x0.95 inches. In Stock.

Hardcover. Condizione: Brand New. 360 pages. 9.00x6.25x1.00 inches. In Stock.

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Condizione: New. pp. 417.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Quantile functions provide a unique, unprecedentedly simple, robust, and precise approach to reliability theory Broad applicability across fields such as statistics, survival analysis, economics, engineering, demography, insurance, and medical sci.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Quantile functions provide a unique, unprecedentedly simple, robust, and precise approach to reliability theory Broad applicability across fields such as statistics, survival analysis, economics, engineering, demography, insurance, and medical sci.

Taschenbuch. Condizione: 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 analysis 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.

Buch. Condizione: 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 distribution 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.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 756.

Condizione: New. Print on Demand pp. 417.

Condizione: New. PRINT ON DEMAND pp. 417.