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Introductory Statistics for Engineering Experimentation - 1st Edition - ISBN: 9780125154239, 9780080491653

Introductory Statistics for Engineering Experimentation

1st Edition

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Authors: Peter Nelson Karen Copeland Marie Coffin
Hardcover ISBN: 9780125154239
eBook ISBN: 9780080491653
Imprint: Academic Press
Published Date: 14th August 2003
Page Count: 514
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Description

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.

Key Features

  • 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

Readership

Undergraduates and Graduate students in engineering

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.

Details

No. of pages:
514
Language:
English
Copyright:
© Academic Press 2003
Published:
14th August 2003
Imprint:
Academic Press
Hardcover ISBN:
9780125154239
eBook ISBN:
9780080491653

About the Authors

Peter Nelson

Affiliations and Expertise

Professor of Mathematical Sciences, Clemson University, USA

Karen Copeland

Affiliations and Expertise

Statistical Consultant; Boulder, CO, USA

Marie Coffin

Affiliations and Expertise

Paradigm Genetics Inc., Cary, NC, USA

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