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Introductory Statistics for Engineering Experimentation

  • 1st Edition - August 14, 2003
  • Latest edition
  • Authors: Peter R. Nelson, Karen A.F. Copeland, Marie Coffin
  • Language: English

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 th… Read more

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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

Provides students and practitioners with the statistical tools needed to design and analyze engineering experiments and problems

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.

Product details

  • Edition: 1
  • Latest edition
  • Published: April 4, 2013
  • Language: English

About the authors

PN

Peter R. Nelson

Affiliations and expertise
Professor of Mathematical Sciences, Clemson University, USA

KC

Karen A.F. Copeland

Affiliations and expertise
Statistical Consultant; Boulder, CO, USA

MC

Marie Coffin

Affiliations and expertise
Paradigm Genetics Inc., Cary, NC, USA

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