Measurement Theory for Engineers:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2003
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | The emphasis of this textbook is on industrial applications of Statistical Measurement Theory. It deals with the principal issues of measurement theory, is concise and intelligibly written, and to a wide extent self-contained. Difficult theoretical issues are separated from the mainstream presentation. Each topic starts with an informal introduction followed by an example, the rigorous problem formulation, solution method, and a detailed numerical solution. Each chapter concludes with a set of exercises of increasing difficulty, mostly with solutions. The book is meant as a text for graduate students and a reference for researchers and industrial experts specializing in measurement and measurement data analysis for quality control, quality engineering and industrial process improvement using statistical methods. Knowledge of calculus and fundamental probability and statistics is required for the understanding of its contents |
| Beschreibung: | 1 Online-Ressource (XIII, 150 p) |
| ISBN: | 9783662085837 9783642055096 |
| DOI: | 10.1007/978-3-662-08583-7 |
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| 500 | |a The emphasis of this textbook is on industrial applications of Statistical Measurement Theory. It deals with the principal issues of measurement theory, is concise and intelligibly written, and to a wide extent self-contained. Difficult theoretical issues are separated from the mainstream presentation. Each topic starts with an informal introduction followed by an example, the rigorous problem formulation, solution method, and a detailed numerical solution. Each chapter concludes with a set of exercises of increasing difficulty, mostly with solutions. The book is meant as a text for graduate students and a reference for researchers and industrial experts specializing in measurement and measurement data analysis for quality control, quality engineering and industrial process improvement using statistical methods. Knowledge of calculus and fundamental probability and statistics is required for the understanding of its contents | ||
| 650 | 4 | |a Mathematics | |
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| 650 | 4 | |a Engineering mathematics | |
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| 650 | 4 | |a Probability Theory and Stochastic Processes | |
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| 650 | 4 | |a Quality Control, Reliability, Safety and Risk | |
| 650 | 4 | |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | |
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Datensatz im Suchindex
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| building | Verbundindex |
| bvnumber | BV042423411 |
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| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-662-08583-7 |
| format | Electronic eBook |
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| id | DE-604.BV042423411 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:13Z |
| institution | BVB |
| isbn | 9783662085837 9783642055096 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027858828 |
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| physical | 1 Online-Ressource (XIII, 150 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 2003 |
| publishDateSearch | 2003 |
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| publisher | Springer Berlin Heidelberg |
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| spelling | Gertsbakh, Ilya Verfasser aut Measurement Theory for Engineers by Ilya Gertsbakh Berlin, Heidelberg Springer Berlin Heidelberg 2003 1 Online-Ressource (XIII, 150 p) txt rdacontent c rdamedia cr rdacarrier The emphasis of this textbook is on industrial applications of Statistical Measurement Theory. It deals with the principal issues of measurement theory, is concise and intelligibly written, and to a wide extent self-contained. Difficult theoretical issues are separated from the mainstream presentation. Each topic starts with an informal introduction followed by an example, the rigorous problem formulation, solution method, and a detailed numerical solution. Each chapter concludes with a set of exercises of increasing difficulty, mostly with solutions. The book is meant as a text for graduate students and a reference for researchers and industrial experts specializing in measurement and measurement data analysis for quality control, quality engineering and industrial process improvement using statistical methods. Knowledge of calculus and fundamental probability and statistics is required for the understanding of its contents Mathematics Distribution (Probability theory) Engineering mathematics Industrial engineering System safety Probability Theory and Stochastic Processes Measurement Science and Instrumentation Appl.Mathematics/Computational Methods of Engineering Quality Control, Reliability, Safety and Risk Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Industrial and Production Engineering Mathematik Messtheorie (DE-588)4169537-9 gnd rswk-swf Messtheorie (DE-588)4169537-9 s 1\p DE-604 https://doi.org/10.1007/978-3-662-08583-7 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Gertsbakh, Ilya Measurement Theory for Engineers Mathematics Distribution (Probability theory) Engineering mathematics Industrial engineering System safety Probability Theory and Stochastic Processes Measurement Science and Instrumentation Appl.Mathematics/Computational Methods of Engineering Quality Control, Reliability, Safety and Risk Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Industrial and Production Engineering Mathematik Messtheorie (DE-588)4169537-9 gnd |
| subject_GND | (DE-588)4169537-9 |
| title | Measurement Theory for Engineers |
| title_auth | Measurement Theory for Engineers |
| title_exact_search | Measurement Theory for Engineers |
| title_full | Measurement Theory for Engineers by Ilya Gertsbakh |
| title_fullStr | Measurement Theory for Engineers by Ilya Gertsbakh |
| title_full_unstemmed | Measurement Theory for Engineers by Ilya Gertsbakh |
| title_short | Measurement Theory for Engineers |
| title_sort | measurement theory for engineers |
| topic | Mathematics Distribution (Probability theory) Engineering mathematics Industrial engineering System safety Probability Theory and Stochastic Processes Measurement Science and Instrumentation Appl.Mathematics/Computational Methods of Engineering Quality Control, Reliability, Safety and Risk Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Industrial and Production Engineering Mathematik Messtheorie (DE-588)4169537-9 gnd |
| topic_facet | Mathematics Distribution (Probability theory) Engineering mathematics Industrial engineering System safety Probability Theory and Stochastic Processes Measurement Science and Instrumentation Appl.Mathematics/Computational Methods of Engineering Quality Control, Reliability, Safety and Risk Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Industrial and Production Engineering Mathematik Messtheorie |
| url | https://doi.org/10.1007/978-3-662-08583-7 |
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