Journal of Regional Science · 1985 · 11 citations · 12 references
ComputingMeteorologyForecastingGravityUncertainty QuantificationForecast VerificationParameter Estimation Under UncertaintySensitivity AnalysisCovarianceDoubly Constrained ModelsForecast Sensitivity AnalysisPrediction Uncertainty QuantificationSensitivity Analysis In Forecasting Models
ABSTRACT In this paper we present a procedure for estimating small changes in gravity model forecasts in response to small changes in input values (trip end totals and/or parameter values). The procedure can be used to derive covariance matrices from which confidence intervals may be obtained and which may be used for tests of hypotheses. While this type of problem has been addressed by others, our approach is the only one that is conveniently applicable to the doubly constrained model and can accommodate the large numbers of origin and destination zones one typically encounters.
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A statistical theory of spatial distribution models
Alan Wilson · Transportation Research · 1967 · 1.1K citations