17

Analysis of Variance

The focus of this chapter is the development of various experimental designs involving one or more factors having fixed effects, random effects or mixed effects.

Topics Covered:

  • Design model and estimable functions
  • One-way experimental layouts
  • Multiple comparisons
  • Determination of sample size
  • Kruskal–Wallis test for one-way layouts (nonparametric method)
  • Randomized complete block design
  • Friedman img-test for randomized complete block designs (RCB)
  • Experiments with one missing observation in an experiment that used a RCB design
  • Experiments with several missing observations in an experiment that used a RCB design
  • Two-way experimental designs
  • Two-way experimental layouts with one observation per cell
  • Two-way experimental layouts with r (>1) observations per cell
  • Blocking in two-way experimental designs
  • Extending two-way experimental designs to n-way experimental designs
  • Latin square designs
  • Random effects model
  • Mixed effects model
  • Nested (hierarchical) design

Learning Outcomes:

After studying this chapter, the reader will be able to

  • Design and conduct various kinds of experiments in engineering or other scientific fields involving one or more factors.
  • Eliminate effects of one or more nuisance factors using appropriate experimental designs.
  • Analyze data coming out of experiments with fixed, random, or mixed effects.
  • Perform residual analysis to check the adequacy ...

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