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Response modeling methodology : empirical modeling for engineering and science /
This book introduces a new approach, denoted RMM, for an empirical modeling of a response variation, relating to both systematic variation and random variation. In the book, the developer of RMM discusses the required properties of empirical modeling and evaluates how current approaches conform to t...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore ; Hong Kong :
World Scientific,
©2005.
|
| Colección: | Series on quality, reliability & engineering statistics ;
v. 8. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Shore, Haim. | |
| 245 | 1 | 0 | |a Response modeling methodology : |b empirical modeling for engineering and science / |c Haim Shore. |
| 260 | |a Singapore ; |a Hong Kong : |b World Scientific, |c ©2005. | ||
| 300 | |a 1 online resource (xxi, 435 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 490 | 1 | |a Series on quality, reliability and engineering statistics ; |v v. 8 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 1 Introduction; 2 Relational Models in Engineering and the Sciences (Monotone Convex/Concave Relationships); 3 Shared Features and "The Ladder"; 4 Approaches to Model Systematic Variation; 5 Approaches to Model Random Variation; 6 The Requirements and Evaluation of Compliance; 7 The RMM Model; 8 Estimating the Relational Model; 9 The RMM Error Distribution; 10 Fitting Procedures (for the Error Distribution); 11 Estimating the Error Distribution; 12 Special Cases of the RMM Model; 13 Evaluating RMM for Compliance; 14 Comparative Solutions for Relational Models. | |
| 520 | |a This book introduces a new approach, denoted RMM, for an empirical modeling of a response variation, relating to both systematic variation and random variation. In the book, the developer of RMM discusses the required properties of empirical modeling and evaluates how current approaches conform to these requirements. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Reliability (Engineering) |x Statistical methods. | |
| 650 | 0 | |a Engineering models. | |
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 6 | |a Modèles techniques. | |
| 650 | 6 | |a Optimisation mathématique. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Engineering (General) |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Reference. |2 bisacsh | |
| 650 | 7 | |a Engineering models |2 fast | |
| 650 | 7 | |a Mathematical optimization |2 fast | |
| 650 | 7 | |a Reliability (Engineering) |x Statistical methods |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Shore, Haim. |t Response Modeling Methodology : Empirical Modeling For Engineering And Science. |d Singapore : World Scientific, ©2005 |z 9789812561022 |
| 830 | 0 | |a Series on quality, reliability & engineering statistics ; |v v. 8. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=259265 |z Texto completo |
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