Abstract
Analysis of Variance (ANOVA) is used to test whether the variability in response data taken for different levels of manipulated variables can be attributed just to random fluctuations, or is caused by the impact of different input levels. Such an approach has been briefly discussed in Section 8.5. A more general case, with several manipulated categorical variables (factors), will be sketched in this chapter. It is one of the basic tools in the design and analysis of experiments.
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Denker, M., Woyczynski, W. (2017). Analysis of Variance. In: Introductory Statistics and Random Phenomena. Modern Birkhäuser Classics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-66152-0_9
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DOI: https://doi.org/10.1007/978-3-319-66152-0_9
Publisher Name: Birkhäuser, Cham
Print ISBN: 978-3-319-66151-3
Online ISBN: 978-3-319-66152-0
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