Abstract The use of correlation coefficients to evaluate the accuracy of spatial interaction models is inappropriate unless such models have been fitted using least squares techniques. In other cases the correlation involves an implicit intercept value and a regression coefficient that may significantly modify the interaction model's estimates. Researchers have not acknowledged the role of these two parameters when the correlation is used. A generalized root mean square error is proposed as an alternative indicator of accuracy that may be used with any model.
A note on the use of correlation coefficients for assessing goodness-of-fit in spatial interaction models
Transportation ; 18 , 3 ; 199-206
1991
Aufsatz (Zeitschrift)
Englisch
Assessing Goodness of Fit of Hybrid Choice Models
Transportation Research Record | 2015
|A note on goodness-of-fit statistics for probit and logit models
Online Contents | 1976
|Goodness of fit statistics for trip distribution models
Elsevier | 1980
|Goodness-of-fit measures for probabilistic travel demand models
Online Contents | 1975
|