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- M.S. Thesis: Mixed Data Segmentation via Lossy Data Compression, October 2006.
Yearly data on LCC students and the surrounding community.
The algorithm consists of data segmentation and parameter acquisition.
Actual yearly data collected from the site were examined against the simulation results.
DESIGN: Retrospective analysis of yearly data.
The upper and lower cures correspond to mean and median values of yearly data.
For yearly data, we pick the value of the year in which the crisis starts.
For example, many of the papers cited in Sect. 1 use yearly data.
Since this research uses yearly data, the panel permits 32 observations for each country.
Figure10 shows a case of data segmentation based on the random segmentation approach.
The models were fitted on the yearly data subset.
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