Introductory Statistics For Engineering Experimentation

Hardcover | August 14, 2003

byPeter R. Nelson, Karen A.f. Copeland, Marie Coffin

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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 and 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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From the Publisher

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 ...

Format:HardcoverDimensions:514 pages, 9 × 6 × 0.98 inPublished:August 14, 2003Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0125154232

ISBN - 13:9780125154239

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Table of 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.