If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Evaluating Goodness-of-Fit Measures for Synthetic Microdata

$54.78 plus tax (Refund Policy)

Buy Article:

Abstract:

Goodness-of-fit tests are widely used by geographers, but choice remains difficult. Our overview starts with a conceptual examination of the nature of fit. Three important approaches to assessing the goodness-of-fit of categorical data are reviewed and appraised: statistics tested against the ² distribution, the normal Z score and its variants, and measures derived from information theory. The forms of the phi and psi statistics highlighted in earlier geographical work are shown to be closely approximated by a simple measure of absolute error. Empirical examples help to illustrate the relative utility of these tests for a range of purposes.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/13615930120086078

Publication date: November 1, 2001

Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more