More wireframes SARBayes | blog

My Weblogs
SARBayes blog
Prior Analytics
SCI 410 news
Blogger(?)

Other Weblogs
D4H
ISRID blog
Nuit Blanche
ACFR
Statistical Modeling...
Machine Learning Theory
pfh
njh'
Older njh
jpl-rpl
...More coming...


Corrections and improvements for the previous wireframes. These have a 40-bin resolution, and fix some errors.

Click the [png | pdf] text to view or download the 300dpi files

Dementia_radial_bivariate_40_bins: [ png | pdf ] A 2D normal with the same standard deviation as the Dementia data. Technically, because this is called a bivariate normal distribution it has two variables, x and y. But in SAR literature it is usually called the "circular normal" distribution. Mathematicians tell me that "circular normal" normally means the von Mises distribution, a normal-like distribution for points around a circle. SAR might use this for dispersion angle.


Dementia_radial_pden_40_bins: [ png | pdf ] Dementia data, probability density (pDen). Clearly our peak is higher than the matched circular normal (bivariate) distribution. That means we must have more outliers. However, our central peak is so high, they vanish in the scale.

Dementia_radial_num_40_bins: [ png | pdf ] Raw proportions: we just rotated the histogram, without correcting for the area of each ring. Also notice how the data is lumpy -- people report data in round numbers, so if you do a cluster analysis, you might want to account for that.


Thanks

Thanks to njh and pfh for help.



[æ]