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- W2913239722 abstract "In many applications it is possible to devise a model to explain a data set, but the model has parameters that must be estimated from observed data. Such a problem is an example of curve fitting. In this chapter we show how least-squares regression models can be used to estimate the coefficients of a variety of models including simple linear models, polynomials, power laws, and exponential models. An illustration of the construction of a linear model is presented based on the modeling of the outcome of sporting events, before turning to examples of radioactive decay, and frequency distributions of the vocabulary in Moby Dick. The considerations of model accuracy, variable selection, coefficient interpretation is discussed throughout." @default.
- W2913239722 created "2019-02-21" @default.
- W2913239722 creator A5036337528 @default.
- W2913239722 date "2018-01-01" @default.
- W2913239722 modified "2023-09-24" @default.
- W2913239722 title "Curve Fitting" @default.
- W2913239722 doi "https://doi.org/10.1016/b978-0-12-812253-2.00013-3" @default.
- W2913239722 hasPublicationYear "2018" @default.
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