Behaviormetrika
Online ISSN : 1349-6964
Print ISSN : 0385-7417
ISSN-L : 0385-7417
A MODEL SELECTION APPROACH TO THE TWO-PHASE REGRESSION ESTIMATION AND THE HUMAN SENSITIVITY ANALYSIS IN URBAN ECOSYSTEM
Masashi ItohKazuo NodaYutaka ShinadaNaomi Tachibana
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1983 Volume 10 Issue 13 Pages 1-18

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Abstract

From a model selection viewpoint, we propose a new approach to the estimation of two-phase weighted regression functions, setting those models that the change-over points of two-phase regression curves are contained in some divided intervals. The asymptotic distribution of the minimum AIC estimator with respect to the selected model is obtained, when the regression curves in these models are two-phase lines. Further, we apply these two-phase regression models to the analysis of public sensitivities to their environments on the basis of a sample survey data. In this process, we compare the goodness of the selected two-phase regression model with the goodnesses of other regression models, examining if there exists a change-over point.

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© The Behaviormetric Society of Japan
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