Statistical design and analysis of experiments : with applications to engineering and science /

Practicing engineers and scientists often have a need to utilize statistical approaches to solving problems in an experimental setting. Yet many have little formal training in statistics. Statistical Design and Analysis of Experiments gives such readers a carefully selected, practical background in...

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Bibliographic Details
Main Author: Mason, Robert L. (Robert Lee), 1946-
Other Authors: Gunst, Richard F., 1947-, Hess, James L.
Format: eBook
Language:English
Published: New York : J. Wiley, 2003.
Edition:2nd ed.
Series:Wiley series in probability and statistics.
Subjects:
Online Access:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=87333
Table of Contents:
  • Statistics in Engineering and Science
  • Fundamentals of Statistical Inference
  • Inferences on Means and Standard Deviations
  • Statistical Principles in Experimental Design
  • Factorial Experiments in Completely Randomized Designs
  • Analysis of Completely Randomized Designs
  • Fractional Factorial Experiments
  • Analysis of Fractional Factorial Experiments
  • Experiments in Randomized Block Designs
  • Analysis of Designs with Random Factor Levels
  • Nested Designs
  • Special Designs for Process Improvement
  • Analysis of Nested Designs and Designs for Process Improvement
  • Linear Regression with One Predictor Variable
  • Linear Regression with Several Predictor Variables
  • Linear Regression with Factors and Covariates as Predictors
  • Designs and Analyses for Fitting Response Surfaces
  • Model Assessment
  • Variable Selection Techniques.