source: trunk/yat/regression/NaiveWeighted.cc @ 730

Last change on this file since 730 was 730, checked in by Peter, 16 years ago

fixes #167 and #160

  • Property svn:eol-style set to native
  • Property svn:keywords set to Id
File size: 1.8 KB
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1// $Id: NaiveWeighted.cc 730 2007-01-06 11:02:21Z peter $
2
3/*
4  Copyright (C) The authors contributing to this file.
5
6  This file is part of the yat library, http://lev.thep.lu.se/trac/yat
7
8  The yat library is free software; you can redistribute it and/or
9  modify it under the terms of the GNU General Public License as
10  published by the Free Software Foundation; either version 2 of the
11  License, or (at your option) any later version.
12
13  The yat library is distributed in the hope that it will be useful,
14  but WITHOUT ANY WARRANTY; without even the implied warranty of
15  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
16  General Public License for more details.
17
18  You should have received a copy of the GNU General Public License
19  along with this program; if not, write to the Free Software
20  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
21  02111-1307, USA.
22*/
23
24#include "NaiveWeighted.h"
25#include "OneDimensional.h"
26#include "yat/statistics/AveragerWeighted.h"
27#include "yat/utility/vector.h"
28
29#include <cassert>
30
31namespace theplu {
32namespace yat {
33namespace regression {
34
35  NaiveWeighted::NaiveWeighted(void)
36    : OneDimensionalWeighted()
37  {
38  }
39
40  NaiveWeighted::~NaiveWeighted(void)
41  {
42  }
43
44  void NaiveWeighted::fit(const utility::vector& x,
45                          const utility::vector& y,
46                          const utility::vector& w)
47  {
48    assert(x.size()==y.size());
49    assert(y.size()==w.size());
50    ap_.reset();
51    ap_.add_values(x,y,utility::vector(x.size(),1.0), w);
52    chisq_ = ap_.y_averager().sum_xx_centered();
53  }
54
55
56  double NaiveWeighted::predict(const double x) const
57  {
58    return ap_.y_averager().mean();
59  }
60
61
62  double NaiveWeighted::s2(double w) const
63  {
64    return chisq_/(w*(ap_.y_averager().n()-1));
65  }
66
67
68  double NaiveWeighted::standard_error2(const double x) const
69  { 
70    return chisq_/( (ap_.y_averager().n()-1)*ap_.y_averager().sum_w() );
71  }
72
73}}} // of namespaces regression, yat, and theplu
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