org.mariuszgromada.math.mxparser.mathcollection

Class Statistics

java.lang.Object

org.mariuszgromada.math.mxparser.mathcollection.Statistics

public final class Statistics
extends Object

Statistics - i.e.: mean, variance, standard deviation, etc.

Version:

3.0.0

Author:

Mariusz Gromada
mariuszgromada.org@gmail.com
MathSpace.pl
MathParser.org - mXparser project page
mXparser on GitHub
mXparser on SourceForge
mXparser on Bitbucket
mXparser on CodePlex
Janet Sudoku - project web page
Janet Sudoku on GitHub
Janet Sudoku on CodePlex
Janet Sudoku on SourceForge
Janet Sudoku on BitBucket

Constructor Summary

Constructors

Constructor and Description
Statistics()

Method Summary

Methods

Modifier and Type	Method and Description
static double	avg(double... numbers) Sample average.
static double	avg(Expression f, Argument index, double from, double to, double delta) Average from sample function values - iterative operator.
static double	std(double... numbers) Sample standard deviation (biased-corrected).
static double	std(Expression f, Argument index, double from, double to, double delta) Bias-corrected standard deviation from sample function values - iterative operator.
static double	var(double... numbers) Sample variance (biased-corrected).
static double	var(Expression f, Argument index, double from, double to, double delta) Bias-corrected variance from sample function values - iterative operator.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Statistics

public Statistics()

Method Detail

avg

public static final double avg(Expression f,
         Argument index,
         double from,
         double to,
         double delta)

Average from sample function values - iterative operator.

Parameters:

f - the expression

index - the name of index argument

from - FROM index = form

to - TO index = to

delta - BY delta

Returns:

product operation (for empty product operations returns 1).

See Also:

Expression, Argument

var

public static final double var(Expression f,
         Argument index,
         double from,
         double to,
         double delta)

Bias-corrected variance from sample function values - iterative operator.

Parameters:

f - the expression

index - the name of index argument

from - FROM index = form

to - TO index = to

delta - BY delta

Returns:

product operation (for empty product operations returns 1).

See Also:

Expression, Argument

std

public static final double std(Expression f,
         Argument index,
         double from,
         double to,
         double delta)

Bias-corrected standard deviation from sample function values - iterative operator.

Parameters:

f - the expression

index - the name of index argument

from - FROM index = form

to - TO index = to

delta - BY delta

Returns:

product operation (for empty product operations returns 1).

See Also:

Expression, Argument

avg

public static final double avg(double... numbers)

Sample average.

Parameters:

numbers - the numbers

Returns:

if each number from numbers <> Double.NaN returns avg(a_1,...,a_n) a_1,...,a_n in numbers, otherwise returns Double.NaN.

var

public static final double var(double... numbers)

Sample variance (biased-corrected).

Parameters:

numbers - the numbers

Returns:

if each number from numbers <> Double.NaN returns Var(a_1,...,a_n) a_1,...,a_n in numbers, otherwise returns Double.NaN.

std

public static final double std(double... numbers)

Sample standard deviation (biased-corrected).

Parameters:

numbers - the numbers

Returns:

if each number from numbers <> Double.NaN returns Std(a_1,...,a_n) a_1,...,a_n in numbers, otherwise returns Double.NaN.