Similar Search Results

A comparison of logistic regression, neural networks, and classification trees predicting success of actuarial students

Schumacher, Phyllis; Olinsky, Alan; Quinn, John T.; … - In: Journal of education for business 85 (2010) 5, pp. 258-263

Persistent link: https://www.econbiz.de/10003989668

Forecasting patient volume for a large hospital system : a comparison of the periodicity of time series data and forecasting approaches

Kennedy, Kristin; Salzillo, Michael; Olinsky, Alan; … - In: Advances in business and management forecasting 9 (2013), pp. 33-44

Persistent link: https://www.econbiz.de/10009745407

The predictive power of investor sentiment on US equity market performance

Steeves, Matthew; Nguyen, Son; Quinn, John T.; Olinsky, Alan - In: Advances in business and management forecasting 14 (2021), pp. 3-21

Persistent link: https://www.econbiz.de/10014291639

Effects of resampling techniques on imbalanced data classification : a new under-resampling method

Nguyen, Son; Schumacher, Phyllis; Olinsky, Alan; Quinn, John - In: Advances in business and management forecasting 14 (2021), pp. 51-70

Persistent link: https://www.econbiz.de/10014291699

Forecasting Patient Volume for a Large Hospital System: A Comparison of the Periodicity of Time Series Data and Forecasting Approaches

Kennedy, Kristin; Salzillo, Michael; Olinsky, Alan; … - In: Advances in business and management forecasting, (pp. 33-44). 2013

Managing a large hospital network can be an extremely challenging task. Management must rely on numerous pieces of information when making business decisions. This chapter focuses on the number of bed days (NBD) which can be extremely valuable for operational managers to forecast for logistical...

Persistent link: https://www.econbiz.de/10015370461