In this paper we study how the time-series structure of the demand process affects the value of information sharing in a supply chain. We consider a two-stage supply chain model in which a retailer serves autoregressive moving-average (ARMA) demand and a manufacturer fills the retailer's orders....

A new version of the RE–EM regression tree method for longitudinal and clustered data is presented. The RE–EM tree is a methodology that combines the structure of mixed effects models for longitudinal and clustered data with the flexibility of tree-based estimation methods. The RE–EM tree...

Public and private decision-makers continue to seek risk-based approaches to allocate funds to help communities respond to disasters, accidents, and terrorist attacks involving critical infrastructure facilities. The requirements for emergency response capability depend both upon risks within a...

It has been shown that Akaike information criterion (AIC)-type criteria are asymptotically efficient selectors of the tuning parameter in nonconcave penalized regression methods under the assumption that the population variance is known or that a consistent estimator is available. We relax this...

This landmark book covers a range of issues concerning the consequences of terrorist attacks. Beginning with a discussion of new policies and strategies, it then delves into specific areas of concern, modeling a range of possible scenarios and ways to mitigate or pre-empt damages.

Although the histogram is the most widely used density estimator, it is well--known that the appearance of a constructed histogram for a given bin width can change markedly for different choices of anchor position. In this paper we construct a stability index $G$ that assesses the potential...

This article uses the Cox proportional hazards model to analyze recent Broadway show data to investigate the factors that relate to the longevity of shows. The type of show, whether a show is a revival, and first-week attendance for the show are predictive for longevity. Favorable critic reviews...