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Introductory statistics for engineering experimentation [e-book] / Peter R. Nelson, Marie Coffin, Karen A.F. Copeland



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Autore: Nelson, Peter R. Visualizza persona
Titolo: Introductory statistics for engineering experimentation [e-book] / Peter R. Nelson, Marie Coffin, Karen A.F. Copeland Visualizza cluster
Pubblicazione: Amsterdam ; Boston : Academic Press, 2003
Descrizione fisica: xii, 514 p. : ill. ; 23 cm
Disciplina: 620.00727
Soggetto topico: Engineering - Statistical methods
Engineering - Experiments
Soggetto genere / forma: Electronic books.
Altri autori: Coffin, Marie.author  
Copeland, Karen A. F.  
Nota di bibliografia: Includes bibliographical references (p. 508-510) and index.
Nota di contenuto: 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
Sommario/riassunto: 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
Eiproduzione: Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2007. Mode of access: World Wide Web. System requirements: Web browser. Title from title screen (viewed on Aug. 2, 2007). Access may be restricted to users at subscribing institutions
ISBN: 9780125154239
0125154232
Formato: Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 991003235369707536
Lo trovi qui: Univ. del Salento
Localizzazioni e accesso elettronico http://www.sciencedirect.com/science/book/9780125154239
http://www.loc.gov/catdir/toc/els033/2003049385.html
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Altra ed. diverso supporto: Original 0125154232 9780125154239 (DLC) 2003049385 (OCoLC)52858311