ÎÒÃdzÏÒâÌṩ¹ã¶«µØÇø¼ÛÁ®ÓÅÖʼ¯×°ÏäÍϳµ·þÎñ

ÎÒÃdzÏÒâÌṩ¹ã¶«µØÇø¼ÛÁ®ÓÅÖʼ¯×°ÏäÍϳµ·þÎñ ÎÒÃÇÊÇÃÀ¹úNSL¹ú¼Ê»õÔË´úÀí¹«Ë¾ÊôϹãÖÝ»ÆÆҸ۵ļ¯×°Ïä³µ¶Ó£¬³¤ÆÚÒÔÀ´ÎÒÃǶ¼ÊÇÒÔ·þÎñ±¾µØµÄ½ø³ö¿ÚÆóÒµ¼°²¿·ÖÄÚó¿ÍÉÌΪÖ÷¡£×¼Ê±¡¢×¨Òµ¡¢³Ðŵ¡¢ÐÅÓþ¡¢·þÎñ¼°ºÏÀíµÄ¼ÛǮһֱÒÔÀ´¶¼ÊÇÎÒÃǾ­ÓªµÄ×ÚÖ¼ºÍÉúÃüÏß¡£Îª´Ë£¬ÎÒÃÇÉèÓÐרÃŵķþÎñ¼°Í¶ËßרÏߣ¬ÓÉרÈËΪÿ¸ö²»Í¬µÄ¿Í»

µÚ¶þ½ìÕã½­Ä£¾ß¼¼ÊõÉ豸¼°Êý ¿Ø »ú ´² Õ¹ ÀÀ »á

µÚ¶þ½ìÕã½­¹ú¼ÊÄ£¾ß¼¼ÊõÉ豸չÀÀ»á Õã ½­ ¹ú ¼Ê Êý ¿Ø »ú ´² Õ¹ ÀÀ »á ʱ¼ä£º2002Äê6ÔÂ17ÈÕ-20ÈÕ µØµã£ºº¼ÖÝ Õã½­ÊÀ½çóÒ×ÖÐÐÄ Ö÷°ìµ¥Î»£ºÖйú»úеÉ豸½ø³ö¿Ú×ܹ«Ë¾ ³Ð°ìµ¥Î»£ºÎ÷Âó¿Ë¹ú¼ÊÕ¹ÀÀÓÐÏÞÔðÈι«Ë¾ º¼ÖÝÍû×åÕ¹ÀÀ·þÎñÓÐÏÞ¹«Ë¾ Õ¹ÀÀÈÕÆÚ: 2002Äê6ÔÂ17ÈÕ-20ÈÕ ²ÎÕ¹·¶Î§: Ò»¡¢Ä£¾ß¼¼ÊõºÍÉ

Re: Definition of "Relationship Between Variables" (was Re: Eight Features of an Ideal Intro Stat Course)

In article , Donald Macnaughton <[EMAIL PROTECTED]> wrote: At great length, and with many quotes, on a very interesting topic. I fear I may have missed the original postings on this thread, though. There is however one area that seems not to have been addressed.

Re: cutting tails of samples

On 17 Jan 2002 00:05:02 -0800, [EMAIL PROTECTED] (Håkon) wrote: > I have noticed a practice among some people dealing with enterprise > data to cut the left and right tails off their samples (including > census data) in both dependent and independent variables. The reason > is that outliers tend

views on the mcas?

http://askearth.com/go/view_request?request=5058 = Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at http://jse.stat.ncsu.edu/ ==

Re: factor Analysis

On Tue, 29 Jan 2002 10:52:30 +0100, "Huxley" <[EMAIL PROTECTED]> wrote: > > Uzytkownik "Gottfried Helms" <[EMAIL PROTECTED]> napisal w wiadomosci > [EMAIL PROTECTED]">news:[EMAIL PROTECTED]... > > It's not so simple. You have to do matrix-inversion for > > that. > > > Not simple? I heard that ta

imputation in the general location model

I am trying to use the S-Plus library, MIX (by Schafer) to create multiple data sets (the original data set has missing values). I have a problem in understanding the use of the "margins" vector which has to be submitted to the program when using the restricted general location model. I "seem" t

Re: factor Analysis

Huxley schrieb: > > Uzytkownik "Gottfried Helms" <[EMAIL PROTECTED]> napisal w wiadomosci > [EMAIL PROTECTED]">news:[EMAIL PROTECTED]... > > It's not so simple. You have to do matrix-inversion for > > that. > > > Not simple? I heard that taking suitable factor loadings and every variable > mean I

Verba Volant 29-01-02

Verba Volant 29-01-02, Every day a new quotation translated into many languages. _ Quotation of the day: Author - Jonathan Swift English - we have just enough religion to make us hate, but not enough to make us love one another Italian - abbiamo abbastanza religione per odiarci

Re: factor Analysis

What you need is a program that makes biplots for principal components. ViSta, a freeware program, will do it for you. In facti, it includes examples of data about cars and the goal of the analysis is to visualize them in the space of the variables. Pedro > It's not so simple. You have to d

Re: factor Analysis

Uzytkownik "Gottfried Helms" <[EMAIL PROTECTED]> napisal w wiadomosci [EMAIL PROTECTED]">news:[EMAIL PROTECTED]... > It's not so simple. You have to do matrix-inversion for > that. > Not simple? I heard that taking suitable factor loadings and every variable mean I can obtain this space. e.g. (I

台湾原装进口-内衣新品上市（预定中……）

Title: ÐÂÆ·Ô¤¶¨--ÇÀ£¡ÇÀ£¡ÇÀ£¡ ÄÐÊ¿ÄÚÒµêÐÂÆ·Ô¤¶¨ÖС­¡­ http://www.51neiku.com SHOW YOUR TALENTS SHOW YOURSELF

Re: factor Analysis

It's not so simple. You have to do matrix-inversion for that. If your statistical program is able to spit out "factor scores", you just take these as your coordinates. For each of your objects you get values in each factor, which you can use as coordinates in the factorspace. Regards - Gottf

Re: factor Analysis

Thank you for explanation. Bu my question was unclear therefore let me ask again. I invented an exapmle. I have 10 questions in a questionnaire. These questions are my 10 variables. A consumers fill this questionnaire for each 15 products e.g cars. Because 10 variables (X1, X2, ...,X10) are corre