This paper develops scalable and effective yet simple heuristic methods for material assignment in a large discrete Build-To-Order (BTO) environment. The material assignment function allocates available supplies of raw material to orders over a period of time. Despite popular belief to the...

This paper develops scalable and effective yet simple heuristic methods for material assignment in a large discrete Build-To-Order (BTO) environment. The material assignment function allocates available supplies of raw material to orders over a period of time. Despite popular belief to the...

This paper develops a log-linear regression approach to estimate missing data in a sparse origin-destination (O-D) matrix assuming the sampled or observed O-D trips follow a good gravity pattern. The approach is tested with randomly selected samples from the known portions of 1997, 2002, and...

Unlike the conventional calibration of a gravity model in which nodal attractions are treated exogenously, this study treats the attraction of a node as an endogenous composite indicator of many contributing factors associated with the node and estimates the nodal attraction based upon exogenous...

Thesis (Ph. D.)--University of Washington, 1997

In this paper we consider the problem of making inference on a structural parameter in instrumental variables regression when the instruments are only weakly correlated with the explanatory endogenous variables. Adopting a local-to-zero assumption as in Staiger and Stock (1994) on the...

The field of financial econometrics has exploded over the last decade. This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to...