Transcription of 判別分析 - cfme.chiba-u.jp
{{id}} {{{paragraph}}}
Example: bachelor of science
判別分析 - cfme.chiba-u.jp
1 2 3 px() N( ) 1 xm196 vxm ()/ m 196 xm xxmm 196. duxmM / m 196. xm xdxmM222 ()/ dM Mahalanobis 4 px() )(112mx 2Md)]())((21exp[)()2(])(21exp[21)(122/12 2/12mxmxmxxp )(1xp)(2xp2Md xm)]())((2p[)()(1x2xM)]()(21exp[)2()(121 1mxCmxCx Tp 2x2m22Md2Md 11 dm2)]()(21exp[)2()(122mxCmxCx Tp m1x12Md5 )}()(2{1})(){(122222122221mxmxDD G1G2)2)((2)}()(2{121
マハラノビス距離－1変数の場合－ 3 平均m，分散σ2の正規母集団 確率密度関数p()x N(m，σ2)からサンプルを1つ取り出し， ...
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: