The forecasting needs for inventory control purposes are hierarchical. For stock keeping units (SKUs) in a product family or a SKU stored across different depot locations, forecasts can be made from the individual series’ history or derived top–down. Many discussions have been found in the...

This paper uses a statistical analysis of match sprint outcomes to guide tactical decisions in this highly tactical contest and to provide competitors and coaches with a potential, marginal gain. Logistic regression models are developed to predict the probability of the leading rider winning at...

From a Bayesian perspective, we propose a general method for analyzing a combination of continuous, ordinal (including binary), and categorical/nominal multivariate measures with missing values. We assume multivariate normal linear regression models for multivariate continuous measures,...