Java org.apache.commons.math.stat.descriptive.moment Variance fields, constructors, methods, implement or subclass

Example usage for Java org.apache.commons.math.stat.descriptive.moment Variance fields, constructors, methods, implement or subclass

Introduction

In this page you can find the methods, fields and constructors for org.apache.commons.math.stat.descriptive.moment Variance.

The text is from its open source code.

Constructor

	Variance() Constructs a Variance with default (true) `isBiasCorrected` property.
	Variance(final SecondMoment m2) Constructs a Variance based on an external second moment.
	Variance(boolean isBiasCorrected) Constructs a Variance with the specified `isBiasCorrected` property
	Variance(Variance original) Copy constructor, creates a new Variance identical to the original

Method

double	evaluate(final double[] values) Returns the variance of the entries in the input array, or `Double.NaN` if the array is empty.
double	evaluate(final double[] values, final double[] weights) Returns the weighted variance of the entries in the the input array. Uses the formula Σ(weights[i]*(values[i] - weightedMean)²)/(Σ(weights[i]) - 1) where weightedMean is the weighted mean This formula will not return the same result as the unweighted variance when all weights are equal, unless all weights are equal to 1.
double	evaluate(final double[] values, final double mean) Returns the variance of the entries in the input array, using the precomputed mean value.
double	getResult()
void	increment(final double d) If all values are available, it is more accurate to use #evaluate(double[]) rather than adding values one at a time using this method and then executing #getResult , since `evaluate` leverages the fact that is has the full list of values together to execute a two-pass algorithm.
void	incrementAll(double[] values) This default implementation just calls #increment in a loop over the input array.