?? 多元非線性回歸分析 概述.htm
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<p class=MsoNormal align=center style='text-align:center'><b><span
style='font-size:18.0pt;mso-bidi-font-size:12.0pt;font-family:宋體;mso-ascii-font-family:
"Times New Roman";mso-hansi-font-family:"Times New Roman"'>多元非線性回歸分析</span></b><b><span
style='font-size:18.0pt;mso-bidi-font-size:12.0pt'> </span></b><b><span
style='font-size:18.0pt;mso-bidi-font-size:12.0pt;font-family:宋體;mso-ascii-font-family:
"Times New Roman";mso-hansi-font-family:"Times New Roman"'>概述</span></b><b><span
lang=EN-US style='font-size:18.0pt;mso-bidi-font-size:12.0pt'><o:p></o:p></span></b></p>
<p class=MsoNormal><b><span lang=EN-US style='font-size:22.0pt;mso-bidi-font-size:
12.0pt;font-family:宋體'><span style="mso-spacerun: yes"> </span></span></b><span
style='font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:宋體'>在當前各種科學實驗中，都會產生大量的實驗測試數據；這些數據在一定概率統計誤差（隨機干擾）內，在數學上都可以以某種形式的確定性函數來描述其變化規律。<span
lang=EN-US><o:p></o:p></span></span></p>
<p class=MsoNormal style='text-indent:28.0pt;mso-char-indent-count:2.0;
mso-char-indent-size:14.0pt;mso-char-indent-size:14pt'><span style='font-size:
14.0pt;mso-bidi-font-size:12.0pt;font-family:宋體'>回歸分析的任務就是對這些受隨機干擾下的測試數據“回歸”其原有的變化規律。<span
lang=EN-US><o:p></o:p></span></span></p>
<p class=MsoNormal style='text-indent:28.0pt;mso-char-indent-count:2.0;
mso-char-indent-size:14.0pt;mso-char-indent-size:14pt'><span style='font-size:
14.0pt;mso-bidi-font-size:12.0pt;font-family:宋體'>在實際的實驗測試數據中，數據符合的數學函數很多時候并不是線性的（或者不能簡單的轉化為線性關系）；這時候，就需要使用<span
style='color:blue'>非線性的回歸分析</span>方法來處理。<span lang=EN-US><o:p></o:p></span></span></p>
<p class=MsoNormal style='text-indent:28.0pt;mso-char-indent-count:2.0;
mso-char-indent-size:14.0pt;mso-char-indent-size:14pt'><span style='font-size:
14.0pt;mso-bidi-font-size:12.0pt;font-family:宋體'>“多元非線性回歸分析”<b><span
style='color:blue'>程序設計的目標</span></b>就是要處理具有<span style='color:blue'>多變元</span>（二維數據、三維數據<span
lang=EN-US>,甚至N維數據場）、<span style='color:blue'>多待定系數</span>、<span
style='color:blue'>非線性</span>的回歸模型。<o:p></o:p></span></span></p>
<p class=MsoNormal style='text-indent:28.0pt;mso-char-indent-count:2.0;
mso-char-indent-size:14.0pt'><span lang=EN-US style='font-size:14.0pt;
mso-bidi-font-size:12.0pt;font-family:宋體'><![if !supportEmptyParas]> <![endif]><o:p></o:p></span></p>
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12.0pt'><![if !supportEmptyParas]> <![endif]><o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='font-size:9.0pt;mso-bidi-font-size:12.0pt'><a href="多元非線性回歸分析%20幫助主題.htm"><span
style='font-family:宋體;mso-ascii-font-family:"Times New Roman";mso-hansi-font-family:
"Times New Roman"'>幫助主題</span></a><o:p></o:p></span></p>
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