datan

Class Regression

java.lang.Object

datan.Regression

public class Regression
extends java.lang.Object

A class performing polynomial regression.

Author:

Siegmund Brandt.

Constructor Summary

Constructors

Constructor and Description
Regression(double[] t, double[] y, double[] deltay, int nr) Polynomial regression with known errors.
Regression(double[] t, double[] y, int nr) Polynomial regression with unknown errors, assumed all equal.

Method Summary

Methods

Modifier and Type	Method and Description
double	confidenceLimit(double tt, double p)
DatanVector	getChiSquare()
DatanVector	getParameters()
double	regressionLine(double tt)

Methods inherited from class java.lang.Object

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

Constructor Detail

Regression

public Regression(double[] t,
          double[] y,
          double[] deltay,
          int nr)

Polynomial regression with known errors.

Parameters:

t - values of the controlled variable

y - measurements

deltay - measurement errors

nr - number of parameters in the polynomial

Regression

public Regression(double[] t,
          double[] y,
          int nr)

Polynomial regression with unknown errors, assumed all equal.

Parameters:

t - values of the controlled variable

y - measurements

nr - number of parameters in the polynomial

Method Detail

getChiSquare

public DatanVector getChiSquare()

Returns:

vector of nr chisquare values

getParameters

public DatanVector getParameters()

Returns:

vector of nr parameters

regressionLine

public double regressionLine(double tt)

Returns:

ordinate value eta on regression line for abscissa value tt of controlled variable

confidenceLimit

public double confidenceLimit(double tt,
                     double p)

Returns:

confidence limit for a given value tt of the controlled variable and a given probability p