In the previous chapter we covered basic statistical concepts and methods. In this chapter we build on the foundation laid out in the previous chapter and explore statistical modeling, which deals with creating models that attempt to explain data. A model can have one or several parameters, and we can use a fitting procedure to find the values of the parameter that best explains the observed data. Once a model has been fitted to data, it can be used to predict the values of new observations, given the ...
14. Statistical Modeling
Robert Johansson1
(1)
Chiba, Chiba, Japan
Keywords
Design MatrixResult ObjectData FrameGeneralize Little SquareDesign MatriceGet Numerical Python : A Practical Techniques Approach for Industry now with the O’Reilly learning platform.
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