Statistical inferences in bidimensional regression models

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

This paper proposes formal procedures of significance tests for bidimensional regression models (Tabler 1994): (1) significance tests of estimated parameters, (2) significance tests of bidimensional correlation coefficient, and (3) significance tests for comparison of bidimensional regression models. These tests are demonstrated by reexamination of the cognitive map study in Kanazawa City (Wakabayashi 1994). The empirical results statistically support the systematic distortion in the cognitive map, enlargement and rotation, indicated by the Euclidean model in the previous study, and discern the affine model as a more proper model that can identify more components of systematic cognitive distortion.

Original languageEnglish
Pages (from-to)169-186
Number of pages18
JournalGeographical Analysis
Volume29
Issue number2
Publication statusPublished - 1997 Apr 1
Externally publishedYes

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes

Fingerprint Dive into the research topics of 'Statistical inferences in bidimensional regression models'. Together they form a unique fingerprint.

  • Cite this