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DoubleFairWeightingFunction Methods

The DoubleFairWeightingFunction type exposes the following members.

Methods
 NameDescription
Public methodAdjustedResiduals Returns a vector of adjusted residuals for the weighted least squares problem: Ax = b.
(Inherited from DoubleLeastSqWeightingFunction)
Public methodClone Creates a deep copy of this weighting.
(Overrides DoubleLeastSqWeightingFunctionClone)
Public methodGetWeights Computes the fair weights for the residuals using the formula: w(r) = 1 / (1 + |r|). Here r is the adjusted redisuals from the AdjustedResidual function of the base class DoubleLeastSqWeightingFunction.
(Overrides DoubleLeastSqWeightingFunctionGetWeights(DoubleVector, DoubleVector))
Public methodInitialize Performs initialization of the weighting function based on the matrix A in the weighted least squares problem: Ax - b.
(Inherited from DoubleLeastSqWeightingFunction)
Public methodMedianAbsDeviation Returns the Mean Absolute Deviation of a vector of values. The mean absolute deviation is an estimate of the standard deviation of the vector of residuals normalized to make the estimate unbiased for the normal distribution.
(Inherited from DoubleLeastSqWeightingFunction)
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