Get Results for Fitted Models (Mathematica How To)

When fitting data to a model, it is often important to obtain additional results to compare the data to the fitted function. You may wish to check the significance of ...

FittedModel (Built-in Mathematica Symbol)

FittedModel[...] represents the symbolic fitted model obtained from functions like LinearModelFit.

LogitModelFit (Built-in Mathematica Symbol)

LogitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial logistic regression model of the form 1/(1 + E -(\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...)) ...

ProbitModelFit (Built-in Mathematica Symbol)

ProbitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial probit regression model of the form 1/2 (1 + erf((\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...

GeneralizedLinearModelFit (Built-in Mathematica Symbol)

GeneralizedLinearModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a generalized linear model of the form g -1 (\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + ...) that ...

NonConstants (Built-in Mathematica Symbol)

NonConstants is an option for D which gives a list of objects to be taken to depend implicitly on the differentiation variables.

BooleanMinimize (Built-in Mathematica Symbol)

BooleanMinimize[expr] finds a minimal-length disjunctive normal form representation of expr.BooleanMinimize[expr, form] finds a minimal-length representation for expr in the ...

Flat (Built-in Mathematica Symbol)

Flat is an attribute that can be assigned to a symbol f to indicate that all expressions involving nested functions f should be flattened out. This property is accounted for ...

BooleanConvert (Built-in Mathematica Symbol)

BooleanConvert[expr] converts the Boolean expression expr to disjunctive normal form.BooleanConvert[expr, form] converts the Boolean expression expr to the specified ...

Partitioning and Padding Lists (Mathematica Tutorial)

Partitioning elements in a list. This partitions in blocks of 3. This partitions in blocks of 3 with offset 1.