| In this issue... |
January 2009subscribe | website | contact us |
Dear Readers,
Let 2009 be a very healthy and successful year !
Also this year, SAS will keep you well informed about the latest news in the Academic Program. Therefore, you can find in this article a link to the new experimental procedure “quantile regression”, background information on SAS Belgium winning the Top Employer and ADMB award, new SAS Solution for Customer Experience Analytics, a view on upcoming events open for academic user as well as a book – written by Professors at UCL available in the SAS bookstore.
Happy reading!
Lieve.
The experimental Quantile regression procedure is available for download
Quantile regression extends the regression model to conditional quantiles of the response variable. This is particularly useful when the rate of change in the conditional quantile, expressed by the regression coefficients, depends on the quantile. The main advantage of quantile regression over least-squares regression is its flexibility for modeling data with heterogeneous conditional distributions. Discover this procedure here
SAS Belgium selected as ‘Top Employers’ in Belgium for 2009
After an extensive survey, conducted by CRF in collaboration with international HR research and advice bureau, the Hay Group, recently published their list of 35 Top Employers … and SAS Belgium was up there with the best.
SAS Belgium achieved the top score of 5 stars on four of the five factors (primary conditions of service, secondary conditions of service, training and education, and organizational culture) and 4 stars in the remaining factor(internal promotion opportunities). This is an outstanding performance against any standards. More information here
SAS wins the ADMB award 2008 for the summer-of-SAS – do not miss the Edition 2009
The full jury appreciated the Summer-of-SAS for its innovation and simplicity: it proves that what is often perceived as a problem on the labor market can be looked upon as a new business opportunity. More here
As there is still a huge demand for SAS skilled young graduates, SAS will organize this summer for the third consecutive time, the summer of SAS. Spread the word and keep an eye on your mailbox as the promotional campaign will start in a couple of weeks!
Discover SAS® for Customer Experience Analytics
Customers have increasingly high expectations of the experience they have when interacting with your organization. Whether visiting your Web site or talking to a representative in your call center, they expect to be recognized and treated consistently across all channels.
SAS for Customer Experience Analytics captures every interaction a customer has on your Web site, transforms it into customer-centric knowledge and integrates with other channel views to provide a more complete picture of the customer. This approach allows organizations to more effectively understand, model and ultimately market to these same customers. All of these features are deployed with an efficient data collection mechanism that reduces the total cost of ownership, and immediately deliver customer insights to your organization. Read more here
- February 2, 2009: Base SAS Certification Exam at UCL
- February 6, 2009: SAS user-event at K.U.Leuven – an afternoon with illustrations of current applications as well as new features in Enterprise Guide 4.2 and statistics in 9.2
- February 20, 2009: Advanced Base SAS Certification Exam at UGent
- April 21, 2009: Spicing up Analytics – doing more with less at SAS
New books available in SAS bookstore
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Actuarial Modelling of Claim Counts
“ Actuarial Modelling of Claim Counts: Risk Classification, Credibility and Bonus-Malus Systems” - Prof Michael Denuit, Xavier Marechal, Sandra Pitrebois, and Jean-Francois Walhin |
Codes Corner
- Ever tried to read in numeric values enclosed in quotation marks using the import procedure? Read more here
- Can not find what you are looking for in the SAS documentation, mark then the FASTats usage notes in your favorites.
- Looking for the odds ratio estimates and confidence intervals – and get an understanding on how they are computed and interpreted? More here
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Contact SAS Lieve Goedhuys, SAS Institute NV / SA |
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