Calc/To-Dos/Statistics/Miscellaneous Data Analysis

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Front matter....


One of the most important tasks in data analysis is to describe optimally the data. Other important issues include extracting all the useful information from the original data set and describe complex relationships/ variability. Some of these are accomplished using statistical techiques (especially in biomedical sciences, see Calc/To-Dos/Statistical Data Analysis Tool), yet most will use different techniques, which will be described here.

Unfortunately, I lost any contact with mathematics more than 10 years ago. Therefore, my comments will be very brief, and I hope that people with interest and knowledge will develop this page further.


Specific Techiques

Summarizing Data

Methods to summarize the information in a limited number of components, e.g. linear dimension reduction

Energy-Frequency Analysis

Data Mining

see also



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