X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Fmath%2Fts%2Finnovations.h;h=f0e40c59f7e2400b0d47609534a14ba1e64c3580;hb=a45fa3f76f32c391c756b7e4334330458d74a1ab;hp=3432a3be1eaad2641b9c3bd50f1d00bbd577422e;hpb=755ecfd2e8d86bc134fe7202c46fee354ec166d0;p=pspp diff --git a/src/math/ts/innovations.h b/src/math/ts/innovations.h index 3432a3be1e..f0e40c59f7 100644 --- a/src/math/ts/innovations.h +++ b/src/math/ts/innovations.h @@ -1,22 +1,18 @@ -/* - src/math/ts/innovations.h - - 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 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. - - 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. - */ +/* PSPP - a program for statistical analysis. + Copyright (C) 2006 Free Software Foundation, Inc. + + 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 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 . */ /* Find preliminary ARMA coefficients via the innovations algorithm. Also compute the sample mean and covariance matrix for each series.