Predicting Loan Defaults Analysis Using SPSS Modeler

  Predicting Loan Defaults Analysis Outline A bank wants to review some of their loans to understand what causes borrowers to default. They’ve constructed a data set from loans issued over a five-year period. They want you to analyze the data and provide a brief report on which variables impact whether a loan is repaid. … More Predicting Loan Defaults Analysis Using SPSS Modeler

Mapping In SAS

Color coded maps by spacial representation of zip code can be used to visually show count data.  The map above of Louisiana shows the number of members with a particular disease in the network.   The following SAS code is an example of creating a zip map. /* Used to create zip maps */ proc … More Mapping In SAS

Fee For Service Vs. Capitation Payment (With SQL Code)

  OBJECTIVES This is a literature review to look at the effects of payment methods of Primary care physicians on the long and short term health of the members, care received, and financial implications. Fee for service is when the physician or physician group gets paid on a case by case basis for what they perform … More Fee For Service Vs. Capitation Payment (With SQL Code)

Predicting The Response of High Yield Donors To Maximize Profit

  Predicting The Response of High Yield Donors To Maximize Profit   EXECUTIVE SUMMARY The Wounded Veterans of America (WVA) is a “a not-for-profit organization that provides programs and services for US veterans with injuries or disease”. The association raises money for veterans by direct mail fund raisers. The WVA keeps a database of everyone … More Predicting The Response of High Yield Donors To Maximize Profit

Masters Project

Analysis of the U.S. Natural Gas Pipeline System With Respect to Leaks.   Natalie A. Sullo A Special Project Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Arts in Statistics Department of Mathematics Central Connecticut State University New Britain, Connecticut December 2013 Department of Mathematical Sciences Keywords: Natural gas pipelines, … More Masters Project