lts.c File Reference

#include "include/lts.h"
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include "include/median.h"

Functions
int	ltsQSort (const void *par1, const void *par2)
int	least_trimmed_square (double data[], long int n, double *mean, double *variance)

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Function Documentation

int least_trimmed_square (  double  data[], long int  n, double *  mean, double *  variance )

Least trimmed squares estimates for univariate location and variance. Data samples are expected to be truly real valued (i.e too many samples having the same value might lead to problems. Written by Jussi Tohka jussi.tohka@cs.tut.fi April 29th 2002. The algorithm (exact) is described in P.J. Rousseeuw and A.M. Leroy: Robust Regression and Outlier Detection John Wiley & Sons 1987. Returns: Returns 0, if successful. Parameters: data  Vector of n sample values; n  Number of samples mean  Output: Mean of sample values variance  Output: Varaince of sample values

int ltsQSort (  const void *  par1, const void *  par2 )

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