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Table 1 Bayesian Information Criteria (BIC) for normal and t mixture models.

From: Modeling the probability distribution of positional errors incurred by residential address geocoding

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

  1. 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.
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International Journal of Health Geographics

ISSN: 1476-072X