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
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
This project is used as practice for imputing missing data using the book “Discovering Knowledge in Data” by Daniel Larose. The analysis is created in SPSS Modeler. The ‘ClassifyRisk – Missing’ dataset file was used and all missing values are imputed. This data set had 246 total records and 6 variables: marital status, mortgage, … More Imputation of Missing Data
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
Natalie Alexandra Sullo 