Author:
Baran Mehmet,Sönmezer Sıtkı
Abstract
Grouping may be an obstacle itself or it may have to be improved to extract better information out of a data stream. Finding trends and dividing a population into parts may be crucial for analyses. This paper offers a modified version of Fisher method that may smoothen the cut point transitions and give out better results. Proven methodology is given with a comparison with the original method. The method may be helpful in forming subgroups in financial data, possibly in technical analyses.Keywords: Grouping, Fisher Method, Trends, Cut points
Publisher
University Library System, University of Pittsburgh
Cited by
1 articles.
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1. On testing the changes in trends of stock market index and rates;Communications in Statistics - Simulation and Computation;2024-07-31