Ralph Snyder

Ralph Snyder is an Adjunct Associate Professor at Monash University's Department of Econometrics and Business Statistics. His academic career spans decades, focusing on business forecasting, econometrics, and time series analysis. He has contributed extensively to statistical modeling for inventory control and demand forecasting.

• PhD in Operations Research, University of Birmingham (1973)
• MEc in Economics, Monash University (1970)
• BEc (First-Class Honors) in Economics, Monash University (1969)

His research interests include:

• Exponential smoothing methods for forecasting
• Time series analysis with complex seasonality
• Intermittent demand modeling for inventory control
• State space frameworks in statistical forecasting
• Outlier detection and robust time series models
• Applications in supply chain analytics

Ralph has collaborated on projects funded by the Australian Research Council (ARC), including:

• 2008-2011: Forecasting with single-source randomness state space models (University of Melbourne/ARC)
• 2004-2007: New approaches to count time series analysis (Monash University/ARC)
• 2000: Symposium attendance at International Symposium on Forecasting (Monash University)