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Mike Gilliland 0
Brilliant forecasting article from 1957!!! (Part 2)

Combining Statistical Analysis with Subjective Judgment (continued) After summarily dismissing regression analysis and correlation analysis as panaceas for the business forecasting problem, Lorie turns next to "salesmen's forecasts."* He first echoes the assumption that we still hear today: This technique of sales forecasting has much to commend it. It is based

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Rick Wicklin 0
Create an array of matrices in SAS

The SAS DATA step supports multidimensional arrays. However, matrices in SAS/IML are like mathematical matrices: they are always two dimensional. In simulation studies you might need to generate and store thousands of matrices for a later statistical analysis of their properties. How can you accomplish that unless you can create

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Matthew Galati 0
The kidney exchange problem

Suppose someone needs a kidney transplant and a family member is willing to donate one. If the donor and recipient are incompatible (because of blood types, tissue mismatch, and so on), the transplant cannot happen. Now suppose two donor-recipient pairs A and B are in this situation, but donor A

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Matthew Galati 0
Ranking NFL teams

It is January. In the United States, this means NFL playoff time! A perfect time (if you are a geeky SAS/OR guy) to use PROC OPTGRAPH to rank the best teams in the NFL. Ranking Sports Teams Ranking of sports teams is a popular (and controversial) topic, especially in the

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Emily Lada 0
Using simulation to help Duke Hospital's tiniest patients

Last year, my SAS Simulation Studio R&D team began a discrete-event simulation modeling project of a neonatal intensive care unit (NICU) with two doctors from Duke University’s Division of Neonatal-Perinatal Medicine.  After several initial meetings discussing such things as necrotizing enterocolitis (NEC), retinopathy of prematurity (ROP), patent ductus arteriosis (PDA), and

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