
Introductory Statistics for Engineering Experimentation
Peter R. Nelson, Marie Coffin, Karen A.F. Copeland
Résumé
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.
Contents
- 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
L'auteur - Peter R. Nelson
Doctor , Professor of Mathematical Sciences, Clemson University, USA
L'auteur - Marie Coffin
Paradigm Genetics Inc., Cary, NC, USA
L'auteur - Karen A.F. Copeland
Doctor, Statistical Consultant; Boulder, CO, USA
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Academic Press |
Auteur(s) | Peter R. Nelson, Marie Coffin, Karen A.F. Copeland |
Parution | 20/11/2003 |
Nb. de pages | 514 |
Format | 16 x 23,5 |
Couverture | Relié |
Poids | 830g |
Intérieur | Noir et Blanc |
EAN13 | 9780125154239 |
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