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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c2005
|
| Schriftenreihe: | Series on quality, reliability & engineering statistics
v. 8 |
| Schlagworte: | |
| Online-Zugang: | FHN01 Volltext |
| Zusammenfassung: | 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. In addition, he explains the motivation for the development of the new methodology, introduces in detail the new approach and its estimation procedures, and shows how it may provide an excellent alternative to current approaches for empirical modeling (like Generalized Linear Modeling, GLM). The book also demonstrates that a myriad of current relational models, developed independently in various engineering and scientific disciplines, are in fact special cases of the RMM model, and so are many current statistical distributions, transformations and approximations |
| Beschreibung: | xxi, 435 p. ill. (some col.) |
| ISBN: | 9789812569288 |
Internformat
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| 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. In addition, he explains the motivation for the development of the new methodology, introduces in detail the new approach and its estimation procedures, and shows how it may provide an excellent alternative to current approaches for empirical modeling (like Generalized Linear Modeling, GLM). The book also demonstrates that a myriad of current relational models, developed independently in various engineering and scientific disciplines, are in fact special cases of the RMM model, and so are many current statistical distributions, transformations and approximations | ||
| 650 | 4 | |a Reliability (Engineering) / Statistical methods | |
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Datensatz im Suchindex
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620/.00452 |
| dewey-search | 620/.00452 |
| dewey-sort | 3620 3452 |
| dewey-tens | 620 - Engineering and allied operations |
| format | Electronic eBook |
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| id | DE-604.BV044634094 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:57:43Z |
| institution | BVB |
| isbn | 9789812569288 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030032066 |
| oclc_num | 1012657220 |
| open_access_boolean | |
| owner | DE-92 |
| owner_facet | DE-92 |
| physical | xxi, 435 p. ill. (some col.) |
| psigel | ZDB-124-WOP ZDB-124-WOP FHN_PDA_WOP |
| publishDate | 2005 |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | World Scientific Pub. Co. |
| record_format | marc |
| series2 | Series on quality, reliability & engineering statistics |
| spelling | Shore, Haim Verfasser aut Response modeling methodology empirical modeling for engineering and science Haim Shore Singapore World Scientific Pub. Co. c2005 xxi, 435 p. ill. (some col.) txt rdacontent c rdamedia cr rdacarrier Series on quality, reliability & engineering statistics v. 8 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. In addition, he explains the motivation for the development of the new methodology, introduces in detail the new approach and its estimation procedures, and shows how it may provide an excellent alternative to current approaches for empirical modeling (like Generalized Linear Modeling, GLM). The book also demonstrates that a myriad of current relational models, developed independently in various engineering and scientific disciplines, are in fact special cases of the RMM model, and so are many current statistical distributions, transformations and approximations Reliability (Engineering) / Statistical methods Engineering models Mathematical optimization Erscheint auch als Druck-Ausgabe 9789812561022 Erscheint auch als Druck-Ausgabe 9812561021 http://www.worldscientific.com/worldscibooks/10.1142/5708#t=toc Verlag URL des Erstveroeffentlichers Volltext |
| spellingShingle | Shore, Haim Response modeling methodology empirical modeling for engineering and science Reliability (Engineering) / Statistical methods Engineering models Mathematical optimization |
| title | Response modeling methodology empirical modeling for engineering and science |
| title_auth | Response modeling methodology empirical modeling for engineering and science |
| title_exact_search | Response modeling methodology empirical modeling for engineering and science |
| title_full | Response modeling methodology empirical modeling for engineering and science Haim Shore |
| title_fullStr | Response modeling methodology empirical modeling for engineering and science Haim Shore |
| title_full_unstemmed | Response modeling methodology empirical modeling for engineering and science Haim Shore |
| title_short | Response modeling methodology |
| title_sort | response modeling methodology empirical modeling for engineering and science |
| title_sub | empirical modeling for engineering and science |
| topic | Reliability (Engineering) / Statistical methods Engineering models Mathematical optimization |
| topic_facet | Reliability (Engineering) / Statistical methods Engineering models Mathematical optimization |
| url | http://www.worldscientific.com/worldscibooks/10.1142/5708#t=toc |
| work_keys_str_mv | AT shorehaim responsemodelingmethodologyempiricalmodelingforengineeringandscience |