X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Fmath%2Fts%2Finnovations.c;h=f69cf89874c530564f7a2182d46915939dd6a19a;hb=43b1296aafe7582e7dbe6c2b6a8b478d7d9b0fcf;hp=44fa09816568b17d84b604a25390a946686c1dd9;hpb=b0edc00b3466899dab038e27452125315c859b37;p=pspp-builds.git diff --git a/src/math/ts/innovations.c b/src/math/ts/innovations.c index 44fa0981..f69cf898 100644 --- a/src/math/ts/innovations.c +++ b/src/math/ts/innovations.c @@ -1,22 +1,19 @@ -/* - src/math/ts/innovations.c +/* PSPP - a program for statistical analysis. + Copyright (C) 2006 Free Software Foundation, Inc. - Copyright (C) 2006 Free Software Foundation, Inc. Written by Jason H. Stover. + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. - This program is free software; you can redistribute it and/or modify it under - the terms of the GNU General Public License as published by the Free - Software Foundation; either version 2 of the License, or (at your option) - any later version. + 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. - 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. + You should have received a copy of the GNU General Public License + along with this program. If not, see . */ - You should have received a copy of the GNU General Public License along with - this program; if not, write to the Free Software Foundation, Inc., 51 - Franklin Street, Fifth Floor, Boston, MA 02111-1307, USA. - */ /* Find preliminary ARMA coefficients via the innovations algorithm. Also compute the sample mean and covariance matrix for each series.