This is a practical text for those who wish to analyse data from Reliability studies. The emphasis is on clear explanation of the techniques used, supported by extensive mathematical and statistical background and nature of the data before it is analysed. There are chapters on survival analysis, using illuminating case studies.
"Sinopsis" puede pertenecer a otra edición de este libro.
Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Librería: Midtown Scholar Bookstore, Harrisburg, PA, Estados Unidos de America
hardcover. Condición: Very Good. no dust jacket as issued No dust jacket. Very Good hardcover with light shelfwear - NICE! Standard-sized. Nº de ref. del artículo: mon0000161443
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Librería: Anybook.com, Lincoln, Reino Unido
Condición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780198536642. Nº de ref. del artículo: 5578459
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Librería: Salish Sea Books, Bellingham, WA, Estados Unidos de America
Condición: Good. Good; Hardcover; Withdrawn library copy with the standard library markings; Moderate wear to the covers; Library stamps to the endpapers; Text pages are clean & unmarked; The binding is good with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 1.2 lbs; Blue and red covers with title in white lettering; 1994, Clarendon Press; 256 pages; "Practical Methods for Reliability Data Analysis (Oxford Statistical Science Series, 14)," by J. I. Ansell & M. J. Phillips. Nº de ref. del artículo: SKU-1004AJ01907293
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Librería: Antiquariat Bernhardt, Kassel, Alemania
gebundene Ausgabe. Condición: Sehr gut. Oxford Statistical Science Series, Band 14. Zust: Gutes Exemplar. XVI, 240 Seiten, Englisch 540g. Nº de ref. del artículo: 492687
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Librería: BennettBooksLtd, San Diego, NV, Estados Unidos de America
Hardcover. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: Q-019853664X
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Librería: Buchpark, Trebbin, Alemania
Condición: Gut. Zustand: Gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | This practical introduction to the analysis of data collected from reliability studies offers clear, detailed explanations of the best and most up-to-date techniques available. Topics include survival analysis with covariates, the assessment of systems performance, reliability growth models, dependency (which encompasses both engineering and statistical approaches), and practical aspects of analysis. A wealth of interesting case studies appear throughout the text, lending "real-world" examples to the more theoretical discussions. Throughout, the authors stress the need for investigators to understand the background and nature of their data if they are to select the most appropriate analysis method. They also provide in-depth treatments of the mathematical and statistical bases underlying each technique. Accessible and comprehensive, the book will be welcomed by students, professionals, and statisticians who are interested in the practical aspects of reliability data analysis. Nº de ref. del artículo: 1353322/203
Cantidad disponible: 1 disponibles
Librería: Buchpark, Trebbin, Alemania
Condición: Sehr gut. Zustand: Sehr gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | This practical introduction to the analysis of data collected from reliability studies offers clear, detailed explanations of the best and most up-to-date techniques available. Topics include survival analysis with covariates, the assessment of systems performance, reliability growth models, dependency (which encompasses both engineering and statistical approaches), and practical aspects of analysis. A wealth of interesting case studies appear throughout the text, lending "real-world" examples to the more theoretical discussions. Throughout, the authors stress the need for investigators to understand the background and nature of their data if they are to select the most appropriate analysis method. They also provide in-depth treatments of the mathematical and statistical bases underlying each technique. Accessible and comprehensive, the book will be welcomed by students, professionals, and statisticians who are interested in the practical aspects of reliability data analysis. Nº de ref. del artículo: 1353322/2
Cantidad disponible: 1 disponibles
Librería: Buchpark, Trebbin, Alemania
Condición: Sehr gut. Zustand: Sehr gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | This practical introduction to the analysis of data collected from reliability studies offers clear, detailed explanations of the best and most up-to-date techniques available. Topics include survival analysis with covariates, the assessment of systems performance, reliability growth models, dependency (which encompasses both engineering and statistical approaches), and practical aspects of analysis. A wealth of interesting case studies appear throughout the text, lending "real-world" examples to the more theoretical discussions. Throughout, the authors stress the need for investigators to understand the background and nature of their data if they are to select the most appropriate analysis method. They also provide in-depth treatments of the mathematical and statistical bases underlying each technique. Accessible and comprehensive, the book will be welcomed by students, professionals, and statisticians who are interested in the practical aspects of reliability data analysis. Nº de ref. del artículo: 1353322/202
Cantidad disponible: 2 disponibles