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Statistical Model Analysis   (Mathematica Tutorial)
When fitting models to data, it is often useful to analyze how well the model fits the data and how well the fitting meets the assumptions of the model. For a number of ...
Monitor   (Built-in Mathematica Symbol)
Monitor[expr, mon] generates a temporary monitor cell in which the continually updated current value of mon is displayed during the course of evaluation of expr.
Interpolation   (Built-in Mathematica Symbol)
Interpolation[{f_1, f_2, ...}] constructs an interpolation of the function values f_i, assumed to correspond to x values 1, 2, ... . Interpolation[{{x_1, f_1}, {x_2, f_2}, ...
LinearModelFit   (Built-in Mathematica Symbol)
LinearModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a linear model of the form \[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + ... that fits the y_i for successive x ...
Union   (Built-in Mathematica Symbol)
Union[list_1, list_2, ...] gives a sorted list of all the distinct elements that appear in any of the list_i. Union[list] gives a sorted version of a list, in which all ...
ChiSquareDistribution   (Built-in Mathematica Symbol)
ChiSquareDistribution[\[Nu]] represents a \[Chi]^2 distribution with \[Nu] degrees of freedom.
FindMaximum   (Built-in Mathematica Symbol)
FindMaximum[f, x] searches for a local maximum in f, starting from an automatically selected point.FindMaximum[f, {x, x_0}] searches for a local maximum in f, starting from ...
FindMinimum   (Built-in Mathematica Symbol)
FindMinimum[f, x] searches for a local minimum in f, starting from an automatically selected point.FindMinimum[f, {x, x_0}] searches for a local minimum in f, starting from ...
EvaluationMonitor   (Built-in Mathematica Symbol)
EvaluationMonitor is an option for various numerical computation and plotting functions that gives an expression to evaluate whenever functions derived from the input are ...
StepMonitor   (Built-in Mathematica Symbol)
StepMonitor is an option for iterative numerical computation functions that gives an expression to evaluate whenever a step is taken by the numerical method used.
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