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SAS

Accounting for Annonimization noise in Binary Target variable (Nlmixed)

by BusinessKen/ Eli Kling • June 9, 2011

I usually am emphatic that the best way to improve model quality is to GET BETTER DATA!. However, Yesterday I used advanced statistics (well advanced for the business world I am in) to address a data quality issue. The situation arises due to restric…

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SAS

Accounting for Annonimization noise in Binary Target variable (Nlmixed)

by BusinessKen/ Eli Kling • June 9, 2011

I usually am emphatic that the best way to improve model quality is to GET BETTER DATA!. However, Yesterday I used advanced statistics (well advanced for the business world I am in) to address a data quality issue. The situation arises due to restric…

Read more →

SAS

Favourite Platform Admin Papers from SAS Global Forum 2011

by Paul Homes • June 9, 2011

These are some of my favourite papers from SAS Global Forum 2011. As a platform administrator and metadata fan I am obviously biased to a specific subset of papers. I’m sure there were many other great papers at the conference, but these are the ones that I liked the most based on my own interests. […]

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SAS

Bootstrap prediction models for probability of default

by Charlie H • June 9, 2011

Not like consumer credit scoring, corporate default study is usually jeopardized by the low-n-low-p data sizes. In the fourth chapter of their book, Gunter and Peter, demonstrated an example about how to construct prediction models for IDR (invesment g…

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SAS

Bootstrap prediction models for probability of default

by Charlie H • June 9, 2011

Not like consumer credit scoring, corporate default study is usually jeopardized by the low-n-low-p data sizes. In the fourth chapter of their book, Gunter and Peter, demonstrated an example about how to construct prediction models for IDR (invesment g…

Read more →

SAS

Bootstrap prediction models for probability of default

by Charlie H • June 9, 2011

Not like consumer credit scoring, corporate default study is usually jeopardized by the low-n-low-p data sizes. In the fourth chapter of their book, Gunter and Peter, demonstrated an example about how to construct prediction models for IDR (invesment g…

Read more →

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Contributors

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