SI
SI
discoversearch

We've detected that you're using an ad content blocking browser plug-in or feature. Ads provide a critical source of revenue to the continued operation of Silicon Investor.  We ask that you disable ad blocking while on Silicon Investor in the best interests of our community.  If you are not using an ad blocker but are still receiving this message, make sure your browser's tracking protection is set to the 'standard' level.
Strategies & Market Trends : TA-Quotes Plus

 Public ReplyPrvt ReplyMark as Last ReadFilePrevious 10Next 10PreviousNext  
To: Nine_USA who wrote (8963)3/26/1999 10:33:00 AM
From: Craig Monroe  Read Replies (4) of 11149
 
I have an idea to offer with no specifics on how to implement it. In my professional area researchers are in the process of developing instruments which predict what characteristics of a person correlate with specific future behaviors. A few years ago, folks depended on individual factors which correlated with future behaviors. The problems here are that not all factors equally predict and that there is overlap in characteristics of the factors (i.e., they have much of the same qualities).

The way our field has gotten beyond this (and raised the accuracy of prediction)is through the use of linear regression statistical models. Basically, using statistical software, you find what factor contributes the most prediction, then the next highest contribution,and the next. At some point, there is no increase in predictive ability (far short of 50+ variables)- the statistical packages will identify which variables co-vary so you might want to use one or the other (determined through testing). I'm not a statistician and am sure I have butchered this explaination, but this is one lead. One of the statistical packages commonly used is SPSS.
Report TOU ViolationShare This Post
 Public ReplyPrvt ReplyMark as Last ReadFilePrevious 10Next 10PreviousNext