Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Amsterdam ; Boston
Academic Press
2003
|
| Schlagwörter: | |
| Beschreibung: | Print version record |
| Umfang: | 1 online resource (xii, 514 pages) illustrations |
| ISBN: | 9780125154239 0125154232 0080491650 9780080491653 1281005533 9781281005533 |
Internformat
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| 100 | 1 | |a Nelson, Peter R. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Introductory statistics for engineering experimentation |c Peter R. Nelson, Marie Coffin, Karen A.F. Copeland |
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| 505 | 8 | |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 | |
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Datensatz im Suchindex
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| author | Nelson, Peter R. |
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| bvnumber | BV045341944 |
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| contents | 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 |
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| 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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| id | DE-604.BV045341944 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:24:33Z |
| institution | BVB |
| isbn | 9780125154239 0125154232 0080491650 9780080491653 1281005533 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 ; Boston Academic Press 2003 1 online resource (xii, 514 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Print version record 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 TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh TECHNOLOGY & ENGINEERING / Reference bisacsh Engineering / Experiments fast Engineering / Statistical methods fast 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 Erscheint auch als Druck-Ausgabe Nelson, Peter R. Introductory statistics for engineering experimentation Amsterdam ; Boston : Academic Press, 2003 0125154232 9780125154239 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Nelson, Peter R. Introductory statistics for engineering experimentation 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 TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh TECHNOLOGY & ENGINEERING / Reference bisacsh Engineering / Experiments fast Engineering / Statistical methods fast 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 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 Engineering Statistical methods Engineering Experiments Versuchsplanung |
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