<![CDATA[解讀統計與研究]]> readingstatistic Mon, 19 Apr 2010 19:45:16 +0800 Copyright PChome Online. All Rights Reserved Mypaper Blog zh PChome新聞台Blog img/channel-ttimes.gif <![CDATA[回歸分析等式的殘差和是否為0?]]> readingstatistic/post/1381471491 readingstatistic/post/1381471491 Thu, 03 Aug 2023 21:51:03 +0800 readingstatistic/post/1381471491#reply OLS(普通最小平方法)回歸分析裡預測值與觀察值的差稱為殘差 你做出一條非標準化回歸等式 依據這條等式算出預測... <![CDATA[什麼是正交回歸分析(Deming regression)?]]> readingstatistic/post/1381447538 readingstatistic/post/1381447538 Mon, 03 Jul 2023 11:47:19 +0800 readingstatistic/post/1381447538#reply 來源:https://www.researchgate.net/figure/Illustration... <![CDATA[多重共線性與標準化回歸係數]]> readingstatistic/post/1381420544 readingstatistic/post/1381420544 Fri, 02 Jun 2023 20:24:44 +0800 readingstatistic/post/1381420544#reply 標準化回歸係數可以讓我們比較獨變項之間的相對重要性 但是如果有嚴重的多重共線性問題(multicollinea... <![CDATA[邏輯回歸(logistic regression)與人工智慧]]> readingstatistic/post/1381381381 readingstatistic/post/1381381381 Sun, 23 Apr 2023 10:13:35 +0800 readingstatistic/post/1381381381#reply 邏輯迴歸可以算出事件發生的機率 如果一位機器警察在學區巡邏 假設它的非標準化邏輯迴歸運算式如下:自然對數(... <![CDATA[標準化回歸等式怎麼處理常數?]]> readingstatistic/post/1381338177 readingstatistic/post/1381338177 Sat, 11 Feb 2023 17:03:26 +0800 readingstatistic/post/1381338177#reply 因為回歸等式裡的常數無法標準化 所以有兩個選擇:(1)把無法被標準化的常數留下來(2)把它從標準化回歸... <![CDATA[離群值對回歸分析的效用]]> readingstatistic/post/1381320762 readingstatistic/post/1381320762 Sat, 14 Jan 2023 17:31:39 +0800 readingstatistic/post/1381320762#reply <img src="//mypaper.pchome.com.tw/show/article/readingstatistic/A1381320762"><BR>source:http://davidakenny.net/old/series/primer.htm...<BR><a href="readingstatistic/post/1381320762" target="_blank">...繼續閱讀</a> <![CDATA[邏輯回歸的基礎來自於質性思維]]> readingstatistic/post/1380484628 readingstatistic/post/1380484628 Sun, 22 Nov 2020 12:31:31 +0800 readingstatistic/post/1380484628#reply 勝算比測量了獨變項與依變項之間的關聯強度 如果沒有顯著差異 研究者會懷疑是否檢定力不足以致於無法偵測樣本資料所... <![CDATA[Multiple R怎麼來的?]]> readingstatistic/post/1379186559 readingstatistic/post/1379186559 Sat, 13 Jul 2019 10:48:36 +0800 readingstatistic/post/1379186559#reply 依變項 ,獨變項為 ,所以線性模型為:對 與 進行相關分析,就是對 與 進行相關分析所... <![CDATA[因果與回歸分析]]> readingstatistic/post/1376899240 readingstatistic/post/1376899240 Sun, 20 Jan 2019 10:17:26 +0800 readingstatistic/post/1376899240#reply 因果關係是統計學家感到最頭痛的議題 原因之一可能是皮爾森相關的發明者一直告誡我們的一句話:相關不等於因果這句話... <![CDATA[如何計算回歸分析R平方(R squared)]]> readingstatistic/post/1366475794 readingstatistic/post/1366475794 Fri, 01 Apr 2016 09:16:56 +0800 readingstatistic/post/1366475794#reply 學習統計要善用圖形表徵 請看以下影片看完影片之後 您會恍然大悟原來統計教育的圖形表徵有多麼地重要 感謝... <![CDATA[迴歸分析裡殘差的圖形表徵]]> readingstatistic/post/1327305509 readingstatistic/post/1327305509 Sun, 30 Mar 2014 21:53:51 +0800 readingstatistic/post/1327305509#reply <img src="//mypaper.pchome.com.tw/show/article/readingstatistic/A1327305509"><BR>右圖的黑點是觀察值 斜線是回歸線 黑點到斜線的距離是"殘差(residual)"source: http:...<BR><a href="readingstatistic/post/1327305509" target="_blank">...繼續閱讀</a> <![CDATA[使用spss判斷多重共線性(multicollinearity)]]> readingstatistic/post/1324261578 readingstatistic/post/1324261578 Fri, 12 Apr 2013 20:25:47 +0800 readingstatistic/post/1324261578#reply <img src="//mypaper.pchome.com.tw/show/article/readingstatistic/A1324261578"><BR>SOURCE:http://www.chsbs.cmich.edu/fattah/courses/empir...<BR><a href="readingstatistic/post/1324261578" target="_blank">...繼續閱讀</a> <![CDATA[最小平方原則(least square principle)]]> readingstatistic/post/1323027676 readingstatistic/post/1323027676 Mon, 18 Jun 2012 22:25:25 +0800 readingstatistic/post/1323027676#reply <img src="//mypaper.pchome.com.tw/show/article/readingstatistic/A1323027676"><BR>source: http://math.uprm.edu/~wrolke/esma3102/rss.htm上...<BR><a href="readingstatistic/post/1323027676" target="_blank">...繼續閱讀</a> <![CDATA[區別分析(discriminant analysis)與邏輯回歸的相異相同之處]]> readingstatistic/post/1323005280 readingstatistic/post/1323005280 Thu, 07 Jun 2012 18:48:13 +0800 readingstatistic/post/1323005280#reply 區別分析和邏輯回歸都是判別依變項在獨變項影響下能夠被歸類於何種組別(例如 生或死)我之所以說邏輯迴歸分析比較好... <![CDATA[迴歸分析的測量偏誤有哪些?]]> readingstatistic/post/1322945542 readingstatistic/post/1322945542 Wed, 09 May 2012 20:45:26 +0800 readingstatistic/post/1322945542#reply Two Measurement errors:(1)Random errors:1.資料被輸入電腦時不小心輸入... ubao snddm index pchome yahoo rakuten mypaper meadowduck bidyahoo youbao zxmzxm asda bnvcg cvbfg dfscv mmhjk xxddc yybgb zznbn ccubao uaitu acv GXCV ET GDG YH FG BCVB FJFH CBRE CBC GDG ET54 WRWR RWER WREW WRWER RWER SDG EW SF DSFSF fbbs ubao fhd dfg ewr dg df ewwr ewwr et ruyut utut dfg fgd gdfgt etg dfgt dfgd ert4 gd fgg wr 235 wer3 we vsdf sdf gdf ert xcv sdf rwer hfd dfg cvb rwf afb dfh jgh bmn lgh rty gfds cxv xcv xcs vdas fdf fgd cv sdf tert sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf shasha9178 shasha9178 shasha9178 shasha9178 shasha9178 liflif2 liflif2 liflif2 liflif2 liflif2 liblib3 liblib3 liblib3 liblib3 liblib3 zhazha444 zhazha444 zhazha444 zhazha444 zhazha444 dende5 dende denden denden2 denden21 fenfen9 fenf619 fen619 fenfe9 fe619 sdf sdf sdf sdf sdf zhazh90 zhazh0 zhaa50 zha90 zh590 zho zhoz zhozh zhozho zhozho2 lislis lls95 lili95 lils5 liss9 sdf0ty987 sdft876 sdft9876 sdf09876 sd0t9876 sdf0ty98 sdf0976 sdf0ty986 sdf0ty96 sdf0t76 sdf0876 df0ty98 sf0t876 sd0ty76 sdy76 sdf76 sdf0t76 sdf0ty9 sdf0ty98 sdf0ty987 sdf0ty98 sdf6676 sdf876 sd876 sd876 sdf6 sdf6 sdf9876 sdf0t sdf06 sdf0ty9776 sdf0ty9776 sdf0ty76 sdf8876 sdf0t sd6 sdf06 s688876 sd688 sdf86