Table 1

Bayesian Information Criteria (BIC) for normal and t mixture models.

Error dataset
Distribution
Number of Components
BIC

(a)
Normal
1
48103

Normal
2
45851

Normal
3
45236

Normal
4
45124

t
1
46083

t
2
45358

t
3
45056

t
4
45042

(b)
Normal
1
46422

Normal
2
44809

Normal
3
44597

Normal
4
44557

t
1
45659

t
2
44538

t
3
44516

t
4
44459

(c)
Normal
1
67174

Normal
2
63174

Normal
3
62710

Normal
4
62446

t
1
62841

t
2
62345

t
3
62219

t
4
62230

(d)
Normal
1
64227

Normal
2
61360

Normal
3
61101

Normal
4
61059

t
1
61092

t
2
60980

t
3
60982

t
4
60994

Models with several different numbers of components, were fitted to the following four error datasets: (a) automated geocoding positional errors; (b) automated geocoding positional errors aligned with axial direction of corresponding street segment; (c) E911 positional errors; (d) E911 positional errors aligned with axial direction of corresponding street segment.

Zimmerman et al. International Journal of Health Geographics 2007 6:1   doi:10.1186/1476-072X-6-1

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