Introductory Statistics For Engineering Experimentation / Edition 1

Introductory Statistics For Engineering Experimentation / Edition 1

by Peter R. Nelson, Karen A.F. Copeland, Marie Coffin, Karen Copeland
     
 

ISBN-10: 0125154232

ISBN-13: 9780125154239

Pub. Date: 08/01/2003

Publisher: Elsevier Science

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

Overview

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

Product Details

ISBN-13:
9780125154239
Publisher:
Elsevier Science
Publication date:
08/01/2003
Pages:
528
Product dimensions:
1.31(w) x 6.00(h) x 9.00(d)

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.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >