Introductory Statistics for Engineering Experimentation

Other | September 1, 2003

byNelson, Peter R., Peter R. Nelson

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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

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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:OtherDimensions:514 pages, 1 × 1 × 1 inPublished:September 1, 2003Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080491650

ISBN - 13:9780080491653

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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.