Abstract
Linear regression models are not the only curve-fitting methods in wide use. Also, these methods are not useful for analyzing data for categorical responses. In this chapter, so-called “kriging” models, “artificial neural nets” (ANNs), and logistic regression methods are briefly described. ANNs and logistic regression methods are relevant for categorical responses. Each of the modeling methods described here offers advantages in specific contexts. However, all of these alternatives have a practical disadvantage in that formal optimization must be used in their fitting process.
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Allen, T.T. (2019). Advanced Regression and Alternatives. In: Introduction to Engineering Statistics and Lean Six Sigma. Springer, London. https://doi.org/10.1007/978-1-4471-7420-2_16
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DOI: https://doi.org/10.1007/978-1-4471-7420-2_16
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