hydroScalingAPI.util.statistics
Class Regressions

java.lang.Object
  extended by hydroScalingAPI.util.statistics.Regressions

public abstract class Regressions
extends java.lang.Object

An abstract class to perform regression analysis between two varibles

Author:
Ricardo Mantilla

Constructor Summary
Regressions()
           
 
Method Summary
static java.util.Hashtable LinearRegression(double[] Xs, double[] Ys)
           
static java.util.Hashtable LinearRegression(float[] Xs, float[] Ys)
           
static java.util.Hashtable LinearRegressionCrossAtZero(double[] Xs, double[] Ys)
           
static java.util.Hashtable LinearRegressionCrossAtZero(float[] Xs, float[] Ys)
           
static void main(java.lang.String[] args)
           
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

Regressions

public Regressions()
Method Detail

LinearRegression

public static java.util.Hashtable LinearRegression(float[] Xs,
                                                   float[] Ys)

LinearRegression

public static java.util.Hashtable LinearRegression(double[] Xs,
                                                   double[] Ys)

LinearRegressionCrossAtZero

public static java.util.Hashtable LinearRegressionCrossAtZero(float[] Xs,
                                                              float[] Ys)

LinearRegressionCrossAtZero

public static java.util.Hashtable LinearRegressionCrossAtZero(double[] Xs,
                                                              double[] Ys)

main

public static void main(java.lang.String[] args)
Parameters:
args - the command line arguments


CUENCAS was initially developed by Ricardo Mantilla at the University of Colorado under the supervision of Dr. Vijay K. Gupta. We wish to recognize the support from the National Science Fundation.