NAME

       gbkreg2d - Kernel non linear regression for bivariate data

SYNOPSIS

       gbkreg2d [options]

DESCRIPTION

       2D  kernel estimation of conditional moments. Data are read from standard input as triplet
       (x,y,z). The moments of z are computed on a regular grid in x and y The  kernel  bandwidth
       if  not  provided  with  the  option -H is set automatically.  Different bandwidths can be
       specified for x and y. Different moments are given in different data  block.  Options  -n,
       -f,  -H  and  -S  accept  comma  separated  values to specify different values for x and y
       components

OPTIONS

       -n     number of points where the estimation is computed (default 10)

       -f     fraction of the support for which to print the result (default .9)

       -H     set the kernel bandwidth explicitly

       -S     scale the kernel bandwidth with respect to heuristic 'optimal'

       -K     choose the kernel: 0 Epanenchnikov, 1 Rectangular, 2 Silverman type I  3  Silverman
              type II (default 0)

       -O     set  the  output,  comma separated list of m mean, v standard deviation, s skewness
              and k kurtosis (default m)

       -D     switch off data de-variation procedure

       -v     verbose mode

       -F     specify the input fields separators  (default " \t")

       -h     this help

AUTHOR

       Written by Giulio Bottazzi

REPORTING BUGS

       Report bugs to <gbutils@googlegroups.com>

       Package home page <http://cafim.sssup.it/~giulio/software/gbutils/index.html>

COPYRIGHT

       Copyright © 2001-2018 Giulio Bottazzi This program is free software; you can  redistribute
       it  and/or  modify  it  under  the  terms of the GNU General Public License (version 2) as
       published by the Free Software Foundation;

       This program is distributed in the hope that it will be useful, but WITHOUT ANY  WARRANTY;
       without  even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
       See the GNU General Public License for more details.