Introductory statistics for engineering experimentation:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Academic Press
2003
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| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "Students must demonstrate a knowledge of the application of statistics to engineering problems." Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineering/scientific experiments is never covered. In developing a one-semester course whose purpose was to introduce engineering/scientific students to the most useful statistical methods, this book was created to satisfy those needs. - Provides the statistical design and analysis of engineering experiments & problems - Presents a student-friendly approach through providing statistical models for advanced learning techniques - Covers essential and useful statistical methods used by engineers and scientists Introduction; Summarizing Data; Models for Experiment Outcomes; Models for the Random Error; Inference for a Single Population; Comparing Two Populations; One-Factor Multi-Sample Experiments; Experiments with Two Factors; Multi-Factor Experiments; Inference for Regression Models; Response Surface Methods; Appendices; References Includes bibliographical references (pages 508-510) and index |
| Beschreibung: | 1 Online-Ressource (xii, 514 pages) |
| ISBN: | 0080491650 0125154232 1281005533 9780080491653 9780125154239 9781281005533 |
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| 245 | 1 | 0 | |a Introductory statistics for engineering experimentation |c Peter R. Nelson, Marie Coffin, Karen A.F. Copeland |
| 264 | 1 | |a Amsterdam |b Academic Press |c 2003 | |
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| 500 | |a The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "Students must demonstrate a knowledge of the application of statistics to engineering problems." Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineering/scientific experiments is never covered. In developing a one-semester course whose purpose was to introduce engineering/scientific students to the most useful statistical methods, this book was created to satisfy those needs. - Provides the statistical design and analysis of engineering experiments & problems - Presents a student-friendly approach through providing statistical models for advanced learning techniques - Covers essential and useful statistical methods used by engineers and scientists | ||
| 500 | |a Introduction; Summarizing Data; Models for Experiment Outcomes; Models for the Random Error; Inference for a Single Population; Comparing Two Populations; One-Factor Multi-Sample Experiments; Experiments with Two Factors; Multi-Factor Experiments; Inference for Regression Models; Response Surface Methods; Appendices; References | ||
| 500 | |a Includes bibliographical references (pages 508-510) and index | ||
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Datensatz im Suchindex
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| author | Nelson, Peter R. |
| author_facet | Nelson, Peter R. |
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| author_sort | Nelson, Peter R. |
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| bvnumber | BV043044328 |
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| ctrlnum | (OCoLC)162575888 (DE-599)BVBBV043044328 |
| dewey-full | 620/.007/27 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620/.007/27 |
| dewey-search | 620/.007/27 |
| dewey-sort | 3620 17 227 |
| dewey-tens | 620 - Engineering and allied operations |
| format | Electronic eBook |
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| isbn | 0080491650 0125154232 1281005533 9780080491653 9780125154239 9781281005533 |
| language | English |
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| spelling | Nelson, Peter R. Verfasser aut Introductory statistics for engineering experimentation Peter R. Nelson, Marie Coffin, Karen A.F. Copeland Amsterdam Academic Press 2003 1 Online-Ressource (xii, 514 pages) txt rdacontent c rdamedia cr rdacarrier The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "Students must demonstrate a knowledge of the application of statistics to engineering problems." Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineering/scientific experiments is never covered. In developing a one-semester course whose purpose was to introduce engineering/scientific students to the most useful statistical methods, this book was created to satisfy those needs. - Provides the statistical design and analysis of engineering experiments & problems - Presents a student-friendly approach through providing statistical models for advanced learning techniques - Covers essential and useful statistical methods used by engineers and scientists Introduction; Summarizing Data; Models for Experiment Outcomes; Models for the Random Error; Inference for a Single Population; Comparing Two Populations; One-Factor Multi-Sample Experiments; Experiments with Two Factors; Multi-Factor Experiments; Inference for Regression Models; Response Surface Methods; Appendices; References Includes bibliographical references (pages 508-510) and index TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh TECHNOLOGY & ENGINEERING / Reference bisacsh Engineering / Experiments fast Engineering / Statistical methods fast Ingenieurwissenschaften Engineering Statistical methods Engineering Experiments Versuchsplanung (DE-588)4078859-3 gnd rswk-swf Versuchsplanung (DE-588)4078859-3 s 1\p DE-604 Coffin, Marie Sonstige oth Copeland, Karen A. F. Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=195018 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Nelson, Peter R. Introductory statistics for engineering experimentation TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh TECHNOLOGY & ENGINEERING / Reference bisacsh Engineering / Experiments fast Engineering / Statistical methods fast Ingenieurwissenschaften Engineering Statistical methods Engineering Experiments Versuchsplanung (DE-588)4078859-3 gnd |
| subject_GND | (DE-588)4078859-3 |
| title | Introductory statistics for engineering experimentation |
| title_auth | Introductory statistics for engineering experimentation |
| title_exact_search | Introductory statistics for engineering experimentation |
| title_full | Introductory statistics for engineering experimentation Peter R. Nelson, Marie Coffin, Karen A.F. Copeland |
| title_fullStr | Introductory statistics for engineering experimentation Peter R. Nelson, Marie Coffin, Karen A.F. Copeland |
| title_full_unstemmed | Introductory statistics for engineering experimentation Peter R. Nelson, Marie Coffin, Karen A.F. Copeland |
| title_short | Introductory statistics for engineering experimentation |
| title_sort | introductory statistics for engineering experimentation |
| topic | TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh TECHNOLOGY & ENGINEERING / Reference bisacsh Engineering / Experiments fast Engineering / Statistical methods fast Ingenieurwissenschaften Engineering Statistical methods Engineering Experiments Versuchsplanung (DE-588)4078859-3 gnd |
| topic_facet | TECHNOLOGY & ENGINEERING / Engineering (General) TECHNOLOGY & ENGINEERING / Reference Engineering / Experiments Engineering / Statistical methods Ingenieurwissenschaften Engineering Statistical methods Engineering Experiments Versuchsplanung |
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