Message-ID: <3FFBC07A.9040409@amadeus.statistik.uni-dortmund.de>
Date: 2004-01-07T08:16:58Z
From: Nadine Henkenjohann
Subject: Spatial regression model
Hello,
is there a package which allows to fit a spatial regression model for
any k-dimensional data?
The spatial regression model is composed of three components:
y=mu+Z+epsilon,
where mu is a low order polynomial, Z is a realization of a second-order
stochastic process with covariance matrix Sigma and epsilon is a
realization of a white-noise process. The covariance function belongs to
the class of either isotropic or anisotropic functions. Mean and
covariance parameters are estimated simultaneously by ML or REML.
I hope somebody can answer my question.
Thank you!
Nadine Henkenjohann