Here is an interesting concept of a data browser called Strata by a company called Kirix ( http://www.kirix.com/ ). It promises to connect your online , offfline data and help you perform analytics on it. It has a 30 days trial version . I am currently evaluating and will keep you posted.
This is one more example of analytics moving online ,from packaged software .
At the end of 1947, as India’s Congress leaders sought to put the ghosts of colonialism and the torments of Partition with Pakistan behind them, a debate rose on economic policy. The first Prime Minister Jawahar Lal Nehru ,argued for and was successful in implementing a state led economic policy which focused on industrialization.
The alternatives were Free market capitalism , which was not in favor since it was less than 15 years to the ravages of the Depression and Gandhi’s philosophy of village led growth, including small co-operatives . India officially discarded the Nehruvian philosophy of socialism in the 1990’s with a step wise approach to free market reforms. Yet in today’s suddenly environmental conscious world of high oil prices,and debris of free market capitalism , it seems Gandhi’s economic policies of environmentally sustainable de centralized growth are as relevant as his political philosophy of non violence (an eye for an eye leads to a world of the blind).
If a 100 million Indian and Chinese cars bloomed tomorrow ,as some of the world’s industrialists would want, the smoke would cover the rest of the world.
That Dude, Gandhi was right. But he always was, wasn’t he.
Heres something I am trying right now with WordPress and Clouds.(Provider –www.rightscale.com)
I will then try making R accessible from a web interface.
Creating segmented models in SAS is quite easy, with a by group processing . It is less easy in other softwares , but that is understandable given that
the first generic rule of segmentation is
1) each segment has statistically similar characteristics .
2) different segments have statistically different characteristics .
This means that just using Proc freq to
check response rate versus
independent variable is not a good way
to check the level of difference.
Proc univariate with plot option and
a by group processing
is actually a better way to test out
because it is a combination of means ,
median analysis
(measures of central value) but also
box plot ,normal distributions and standard deviations
(measures of dispersion).
Proc freq with cross tab is incredibly powerful to decide whether to create a model in the first place. But fine tuning of decisions on segments is better done with proc univariate. The SAS equivalent for clustering of course remains Proc Fastclus and family which will be dealt in a separate post.
(Note :lovely image that explains the above from Dr Ariel Shamir’s home page (he is a research expert on Visual Succinct Representation of Information ————-from Israel, land of the brave and intelligent).
A Picture is truly worth a thousand words (or posts !).)
Here is an interesting blog post on why software giants like google ,microsoft will be rich foroever. And ironically Microsoft has given away the maximum number of free programs, dlls, extensions,patches. When I mean free I mean really free, they did not sell your identity to advertisers .
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Back in 1998, representatives of the Walt Disney Company came to Washington looking for help. Disney’s copyright on Mickey Mouse, who made his screen debut in the 1928 cartoon short “Steamboat Willie,” was due to expire in 2003, and Disney’s rights to Pluto, Goofy and Donald Duck were to expire a few years later.
Prompted perhaps by the Disney group’s lavish donations of campaign cash – more than $6.3 million in 1997-98, according to the nonprofit Center for Responsive Politics – Congress passed and President Clinton signed the Sonny Bono Copyright Term Extension Act.
Logistic regression is a widely used technique in database marketing for creating scoring models and in risk classification . It helps develop propensity to buy, and propensity to default scores (and even propensity to fraud ) .
This is more of a practical approach to make the model than a theory based approach.(I was never good at the theory 😉 )
If you need to do Logistic Regression using SPSS, a very good tutorial ia available here
http://www2.chass.ncsu.edu/garson/PA765/logistic.htm
(Note -Copyright 1998, 2008 by G. David Garson.
Last update 5/21/08.)
For SAS a very good tutorial is here –
SAS Annotated Output
Ordered Logistic Regression. UCLA: Academic Technology Services, Statistical Consulting Group.
from http://www.ats.ucla.edu/stat/sas/output/sas_ologit_output.htm (accessed July 23, 2007).
For R the documentation (note :Still searching for R ‘s Logistic Regression ) is here
http://lib.stat.cmu.edu/S/Harrell/help/Design/html/lrm.html
–
lrm(formula, data, subset, na.action=na.delete, method=”lrm.fit”, model=FALSE, x=FALSE, y=FALSE, linear.predictors=TRUE, se.fit=FALSE, penalty=0, penalty.matrix, tol=1e-7, strata.penalty=0, var.penalty=c(‘simple’,’sandwich’), weights, normwt, …)
For linear models in R –
http://datamining.togaware.com/survivor/Linear_Model0.html
An extremely good book if you want to work with R , and do not have time to learn it is to use the GUI
rattle and look at this book
http://datamining.togaware.com/survivor/Contents.html
DECISION STATS 