Книга: ORIGINAL ALGORITHMS OF TIME SERIES EMERGENCE

Many new applied problems in concrete research areas origin last years. We say about processing time series of observations in problems of meteorology, ichthyology, medical geography, epidemiology and demography. Traditional methods of modeling and data processing cannot solve them because of their large complexity. Therefore, it is necessary to extract specifics of these problems, which is in large changes of main characteristics of considered systems. Proposed monograph contains different approaches of extracted specifics application in data processing and next analysis. These approaches allow to construct efficient data processing algorithms and to simplify significantly analysis of considered systems. The basic methods of time series processing are the developed algorithms for recognition of images, classifications, estimations of variances of fluctuations concerning a trend. All constructed algorithms are testing on real data.

This monograph may be interesting as for specialists in data processing so for specialists in concrete subject areas: epidemiology, meteorology, fishing, medical geography etc. We think that young people: students and postgraduate students may use suggested algorithms in different listed applications.