Statistics for process control engineers: a practical approach
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hoboken, NJ
Wiley
[2018]
|
Ausgabe: | First edition |
Schlagworte: | |
Online-Zugang: | FRO01 UBG01 Volltext |
Beschreibung: | The Basics. Introduction -- Application to Process Control -- Process Examples -- Characteristics of Data -- Probability Density Function -- Presenting the Data -- Sample Size -- Significance Testing -- Fitting a Distribution -- Distribution of Dependent Variables -- Commonly Used Functions -- Selected Distributions -- Extreme Value Analysis -- Hazard Function -- CUSUM -- Regression Analysis -- Autocorrelation -- Data Reconciliation -- Fourier Transform -- Catalogue of Distributions. Normal Distribution -- Burr Distribution -- Logistic Distribution -- Pareto Distribution -- Stoppa Distribution -- Beta Distribution -- Johnson Distribution -- Pearson Distribution -- Exponential Distribution -- Weibull Distribution -- Chi Distribution -- Gamma Distribution -- Symmetrical Distributions -- Asymmetrical Distributions -- Amoroso Distribution -- Binomial Distribution -- Other Discrete Distributions -- Appendix 1: Data Used in Examples -- Appendix 2: Summary of Distributions. - Includes bibliographical references and index |
Beschreibung: | 1 Online-Ressource (xxi, 600 Seiten) |
ISBN: | 9781119383536 9781119383482 |
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650 | 4 | |a Engineering mathematics / fast / (OCoLC)fst00910601 | |
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Datensatz im Suchindex
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any_adam_object | |
author | King, Myke |
author_facet | King, Myke |
author_role | aut |
author_sort | King, Myke |
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dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 620 - Engineering and allied operations |
dewey-raw | 620.001/51 |
dewey-search | 620.001/51 |
dewey-sort | 3620.001 251 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Mathematik |
edition | First edition |
format | Electronic eBook |
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indexdate | 2024-07-10T07:57:27Z |
institution | BVB |
isbn | 9781119383536 9781119383482 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030022059 |
oclc_num | 1011519153 |
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physical | 1 Online-Ressource (xxi, 600 Seiten) |
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spelling | King, Myke Verfasser aut Statistics for process control engineers a practical approach Myke King, Whitehouse Consulting, Isle of Wight, UK. First edition Hoboken, NJ Wiley [2018] 1 Online-Ressource (xxi, 600 Seiten) txt rdacontent c rdamedia cr rdacarrier The Basics. Introduction -- Application to Process Control -- Process Examples -- Characteristics of Data -- Probability Density Function -- Presenting the Data -- Sample Size -- Significance Testing -- Fitting a Distribution -- Distribution of Dependent Variables -- Commonly Used Functions -- Selected Distributions -- Extreme Value Analysis -- Hazard Function -- CUSUM -- Regression Analysis -- Autocorrelation -- Data Reconciliation -- Fourier Transform -- Catalogue of Distributions. Normal Distribution -- Burr Distribution -- Logistic Distribution -- Pareto Distribution -- Stoppa Distribution -- Beta Distribution -- Johnson Distribution -- Pearson Distribution -- Exponential Distribution -- Weibull Distribution -- Chi Distribution -- Gamma Distribution -- Symmetrical Distributions -- Asymmetrical Distributions -- Amoroso Distribution -- Binomial Distribution -- Other Discrete Distributions -- Appendix 1: Data Used in Examples -- Appendix 2: Summary of Distributions. - Includes bibliographical references and index Engineering mathematics / fast / (OCoLC)fst00910601 Engineering / Statistical methods / fast / (OCoLC)fst00910415 Process control / Mathematical models / fast / (OCoLC)fst01078032 TECHNOLOGY & ENGINEERING / Engineering (General) / bisacsh TECHNOLOGY & ENGINEERING / Reference / bisacsh Process control / Mathematical models Engineering / Statistical methods Engineering mathematics Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781119383505 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119383536 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | King, Myke Statistics for process control engineers a practical approach Engineering mathematics / fast / (OCoLC)fst00910601 Engineering / Statistical methods / fast / (OCoLC)fst00910415 Process control / Mathematical models / fast / (OCoLC)fst01078032 TECHNOLOGY & ENGINEERING / Engineering (General) / bisacsh TECHNOLOGY & ENGINEERING / Reference / bisacsh Process control / Mathematical models Engineering / Statistical methods Engineering mathematics Statistik (DE-588)4056995-0 gnd |
subject_GND | (DE-588)4056995-0 |
title | Statistics for process control engineers a practical approach |
title_auth | Statistics for process control engineers a practical approach |
title_exact_search | Statistics for process control engineers a practical approach |
title_full | Statistics for process control engineers a practical approach Myke King, Whitehouse Consulting, Isle of Wight, UK. |
title_fullStr | Statistics for process control engineers a practical approach Myke King, Whitehouse Consulting, Isle of Wight, UK. |
title_full_unstemmed | Statistics for process control engineers a practical approach Myke King, Whitehouse Consulting, Isle of Wight, UK. |
title_short | Statistics for process control engineers |
title_sort | statistics for process control engineers a practical approach |
title_sub | a practical approach |
topic | Engineering mathematics / fast / (OCoLC)fst00910601 Engineering / Statistical methods / fast / (OCoLC)fst00910415 Process control / Mathematical models / fast / (OCoLC)fst01078032 TECHNOLOGY & ENGINEERING / Engineering (General) / bisacsh TECHNOLOGY & ENGINEERING / Reference / bisacsh Process control / Mathematical models Engineering / Statistical methods Engineering mathematics Statistik (DE-588)4056995-0 gnd |
topic_facet | Engineering mathematics / fast / (OCoLC)fst00910601 Engineering / Statistical methods / fast / (OCoLC)fst00910415 Process control / Mathematical models / fast / (OCoLC)fst01078032 TECHNOLOGY & ENGINEERING / Engineering (General) / bisacsh TECHNOLOGY & ENGINEERING / Reference / bisacsh Process control / Mathematical models Engineering / Statistical methods Engineering mathematics Statistik |
url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781119383536 |
work_keys_str_mv | AT kingmyke statisticsforprocesscontrolengineersapracticalapproach |