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RELATION BETWEEN FORECAST ERROR AND AGGREGATION LEVEL IN MARKOVIAN MODELS OF MOVEMENT.

  • Northwestern University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper is concerned with evaluating the relative merits of alternative approaches to forecasting aggregate variables. 'Aggregate' may refer to variables that have been averaged over space, socioeconomic characteristics, or just about any other imaginable dimension. Authors focus on comparing the forecasts derived using two distinct approaches. In the first, a model is used at the disaggregate level and the aggregate forecasts are obtained by aggregating the disaggregate results in an appropriate manner. In the second approach, the same model is simply used at the aggregate level to derive forecasts.

Original languageEnglish
Title of host publicationModeling and Simulation, Proceedings of the Annual Pittsburgh Conference
PublisherISA
Pages433-437
Number of pages5
ISBN (Print)0876648308
StatePublished - 1984

Publication series

NameModeling and Simulation, Proceedings of the Annual Pittsburgh Conference

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