WeightedStatistic

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vec_math
Class WeightedStatistic

java.lang.Object
  vec_math.WeightedStatistic

Direct Known Subclasses:: ClassicStatistic

public abstract class WeightedStatistic
extends Object
extends Object

Abstract base class for statistic purpose. Defines routines getAverage() to derive an average value (e.g. arithmetic average). Method getDeviation to return something like a standard deviation. getSkew() and getKurt() for higher order moments. If either the class's constructor or its setValue method is called with null as the deviation array, the boolean Weighed is set to false and an array holding 1.'s the same length as x is generated. The methods getDeviationOfAverage returns the deviation of the average (Deviation is the deviation of the individul measurements. Due to the limited number of points in the sample two more routines are provided: getTrueAverage and getTrueDeviation. Both return the same value as the getAverage and getDeviation methods in the limiting case N->inf. While the true average is normally not known, the true deviation can sometimes be estimated. In any case it must be HIGHER than the apparent Deviation returned by getDeviation. Methods for adding and removing points are included. N holds the actual number of points (public). Comstructs either empty or with array of values.

Field Summary
`protected double`	`Average`
`protected double`	`Deviation`
`protected double`	`DeviationOfAverage`
`protected double`	`Kurt`
`int`	`N`
`double[]`	`sigma`
`protected double`	`Skew`
`private static double`	`SMALL`
`protected double`	`TrueAverage`
`protected double`	`TrueDeviation`
`protected boolean`	`ValidAverage`
`protected boolean`	`ValidDeviation`
`protected boolean`	`ValidDeviationOfAverage`
`protected boolean`	`ValidKurt`
`protected boolean`	`ValidSkew`
`protected boolean`	`ValidTrueAverage`
`protected boolean`	`ValidTrueDeviation`
`protected boolean`	`Weighed`
`double[]`	`x`
`protected double`	`XMax`
`protected double`	`XMin`
`boolean`	`xValid`

Constructor Summary
`WeightedStatistic()`
`WeightedStatistic(double[] val, double[] sig)`

Method Summary
`void`	`addValue(double xadd)`
`void`	`addValue(double xadd, double sigadd)`
`void`	`clear()`
`boolean`	`deleteValue(double xdel)`
`boolean`	`deleteValue(double xdel, double sigdel)`
`boolean`	`deleteValue(int index)`
`abstract double`	`getAverage()`
`abstract double`	`getDeviation()`
`abstract double`	`getDeviationOfAverage()`
`abstract double`	`getKurt()`
`double`	`getMax()`
`double`	`getMin()`
`abstract double`	`getSkew()`
`double`	`getSpan()`
`abstract double`	`getTrueAverage()`
`abstract double`	`getTrueDeviation()`
`private void`	`setMinMax()`
`void`	`setValue(double[] val, double[] sig)`
`abstract void`	`updateOnAdd(double xadd, double sadd)`
`abstract void`	`updateOnDelete(double xdel, double sdel)`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Field Detail

SMALL

private static final double SMALL

See Also:: Constant Field Values

N

public int N

x

public double[] x

sigma

public double[] sigma

xValid

public boolean xValid

XMax

protected double XMax

XMin

protected double XMin

Weighed

protected boolean Weighed

Average

protected double Average

ValidAverage

protected boolean ValidAverage

TrueAverage

protected double TrueAverage

ValidTrueAverage

protected boolean ValidTrueAverage

DeviationOfAverage

protected double DeviationOfAverage

ValidDeviationOfAverage

protected boolean ValidDeviationOfAverage

Deviation

protected double Deviation

ValidDeviation

protected boolean ValidDeviation

TrueDeviation

protected double TrueDeviation

ValidTrueDeviation

protected boolean ValidTrueDeviation

Skew

protected double Skew

ValidSkew

protected boolean ValidSkew

Kurt

protected double Kurt

ValidKurt

protected boolean ValidKurt

Constructor Detail