📄 ar-model.html
字号:
<html><head><title>AR-Model</title></head><body bgcolor=white><h1 align=center>Description of the program: <font color=Blue>ar-model</font></h1><hr>This program fits (by means of least squares) a simple autoregressive(AR) model to the possiblymultivariate data. The model is given by the equation<center><img src="ar-model-eq1.gif"></img></center>The matrices <b>A<sup>i</sup></b> are determined by the program.<br>The output file contains the coefficients of the model and theresiduals. Note that now the mean is subtracted first, conformingwith common practice. If you want to run the resulting model togenerate a time series, you can either use the <b>-s</b> flag of theprogram or pipe the output to <ahref="../docs_f/ar-run.html">ar-run</a>. Note that no attempt has been made to generate a <em>stable</em> model.<hr><h2 align=center>Usage:</h2><center><font color=Red>ar-model [Options]</font><p>Everything not being a valid option will be interpreted as a potential datafile name. Given no datafile at all, means read stdin. Also <font color=Red>-</font> means stdin<p>Possible options are:<p><table border=2><tr><th>Option<th>Description<th>Default</tr><tr><th>-l#<td>number of data to use<td>whole file</tr><tr><th>-x#<td>number of lines to be ignored<td>0</tr><tr><th>-m#<td>dimension of the vectors<td>1</tr><tr><th>-c#<td><a href=../general.html#column>column to be read</a><td>1,...,dimension of the vectors</tr><tr><th>-p#<td>order of the model<td>5</tr><tr><th>-s#<td>iterate s steps of the model<td>no iteration</tr><tr><th>-o#<td><a href=../general.html#outfile>output file name</a><td>without file name: 'datafile'.ar<br>(or stdin.ar if stdin was used)<br>if no -o is given stdout is used</tr><tr><th>-V#<td><a href=../general.html#verbosity>verbosity level</a><br> 0: only panic messages<br> 1: add input/output messages<br> 2: print residuals though iterating a model<td>1</tr><tr><th>-h<td>show these options<td>none</tr></table></center><hr><h2 align=center>Description of the Output:</h2>The first line just contains the average forecast errors of the modelfor each component of the vector <b>x</b>, thenext <font color=blue>p*(dimension of the vectors)</font> linescontain the AR coefficients for each of the components.The rest of the file are the individual errors (residuals) or aiterated time series depending on the flag <b>-s</b>.<hr>View the <a href="../../source_c/ar-model.c">C-sources</a><hr><a href=../contents.html>Table of Contents</a> * <a href="../../index.html" target="_top">TISEAN home</a></body></html>⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -