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The stress-strength model and its generalizations : theory and applications /

This important book presents developments in a remarkable field of inquiry in statistical/probability theory - the stress-strength model. Many papers in the field include the enigmatic "words" P(X<Y) - or something similar - in the title. This reflects the long-established concept of or...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kotz, Samuel
Otros Autores: Lumelʹskiĭ, I͡An Petrovich, Pensky, Marianna
Formato: Electrónico eBook
Idioma:Inglés
Publicado: River Edge, NJ : World Scientific, ©2003.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 4 |a The stress-strength model and its generalizations :  |b theory and applications /  |c Samuel Kotz, Yan Lumelskii, Marianna Pensky. 
260 |a River Edge, NJ :  |b World Scientific,  |c ©2003. 
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505 0 |a Preface; Some Notations and Abbreviations; Contents; Chapter 1 The Stress-Strength Models. Mathematics, History, and Applications; Chapter 2 The Theory and Some Useful Approaches; Chapter 3 Parametric Point Estimation; Chapter 4 Parametric Statistical Inference; Chapter 5 Nonparametric Models; Chapter 6 Some Selected Special Cases; Chapter 7 Applications and Examples; Bibliography; Index. 
520 |a This important book presents developments in a remarkable field of inquiry in statistical/probability theory - the stress-strength model. Many papers in the field include the enigmatic "words" P(X<Y) - or something similar - in the title. This reflects the long-established concept of ordering of distributions. The basic impetus for the study carried out by the authors of this book is the general concept of stress-strength as an interpretation of the P(X<Y) relationships, which leads to applications in reliability engineering, economics and modern medicine. The Stress-Strength Model and Its Generalizations collects and digests theoretical and practical results on the theory and applications of the stress-strength relationships in industrial and economic systems - results that have been scattered in the literature during the last 40-odd years - and augments and presents them for the first time in a unified manner suitable for practitioners as well as probabilists and theoretical and applied statisticians. 
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