Abstract
The most widely used general statistical procedure is (linear) regression. Regression models are powerful tools for modeling a target variable y as a function of a set of predictors x, allowing prediction for future values of y and the construction of tests and interval estimates for predictions and parameters.
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© 1996 Springer-Verlag New York, Inc.
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Simonoff, J.S. (1996). Nonparametric Regression. In: Smoothing Methods in Statistics. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4026-6_5
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DOI: https://doi.org/10.1007/978-1-4612-4026-6_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-8472-7
Online ISBN: 978-1-4612-4026-6
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