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Introductory Statistics for Engineering Experimentation
1st Edition - August 14, 2003
Authors: Peter R. Nelson, Karen A.F. Copeland, Marie Coffin
Hardback ISBN:
9 7 8 - 0 - 1 2 - 5 1 5 4 2 3 - 9
eBook ISBN:
9 7 8 - 0 - 0 8 - 0 4 9 1 6 5 - 3
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… Read more
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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.
- No. of pages: 528
- Language: English
- Published: August 14, 2003
- Imprint: Academic Press
- Hardback ISBN: 9780125154239
- eBook ISBN: 9780080491653
PN
Peter R. Nelson
Affiliations and expertise
Professor of Mathematical Sciences, Clemson University, USAKC
Karen A.F. Copeland
Affiliations and expertise
Statistical Consultant; Boulder, CO, USAMC
Marie Coffin
Affiliations and expertise
Paradigm Genetics Inc., Cary, NC, USA