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Business Analysis Module Reference Guide
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2.3 Parameter Calculation Classes

The Parameter Calculation Classes calculate regression parameters from input regression data. The Parameter Calculation Classes are contained in Table 2.

Table 2: The Parameter Calculation Classes 

Class Name Description

RWAddObservations<T,S>

Holds information about adding observations to a parameter calculation object's base calculation.

RWAddPredictors<T,S>

Holds information about the addition of predictor variables to a parameter calculation object's base calculation.

RWGPValueFunctor

Calculates the G statistic for a logistic model in comparison to the intercept only model.

RWLeastSqQRCalc

Implements the calculation of linear regression parameters using QR decomposition.

RWLeastSqQRPvtCalc

Implements the calculation of linear regression parameters using QR decomposition with pivoting.

RWLeastSqSVDCalc

Implements the calculation of linear regression parameters using singular value decomposition.

RWLinearRegressionParam

Models an estimated linear regression parameter using a T distribution. Also used with a class instance to test some statistical hypothesis about the parameter's value.

RWLinRegressFStatistic

A function object that takes the data and parameters associated with a linear regression model and returns the F statistic for that model.

RWLogisticFitAnalysis

Calculates several goodness of fit quantities, including the G statistic, Pearson statistic, and Hosmer-Lemeshow statistic along with their P-values and critical values.

RWLogisticIterLSQ

Calculates model parameter estimates from logistic regression data using the iterative least squares method.

RWLogisticLevenbergMarquardt

Calculates model parameter estimates from logistic regression data using the Levenberg-Marquardt method.

RWLogisticRegressionParam

The container class for logistic regression parameter estimates and their associated statistical quantities.

RWRegressionCalc<T,S>

Object contained in class RWRegression<T,S> and used by the class to perform parameter calculation. Also, the abstract base class for the parameter calculation classes.

RWRemoveObservations<T,S>

Holds information regarding the removal of observations from a parameter calculation object's base calculation.

RWRemovePredictors<T,S>

Contains information regarding the removal of predictor variables from a base parameter calculation object's base calculation.



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