By G. Sh. Tsitsiashvili
This booklet offers works on processing time sequence of observations in difficulties of meteorology, ichthyology, clinical geography, epidemiology and demography. those works were released via the authors in the final four years within the Russian journals and said at numerous Russian and foreign meetings. the elemental tools of processing of time sequence within the accumulated works are built algorithms for: reputation of pictures, classifications, and estimations of dispersions of fluctuations bearing on a development. the assumption of building of the 1st algorithms is composed in learning huge outliers in time sequence. Such strategy has allowed to build very simple for knowing and quite quickly, as to computing, algorithms of popularity of pictures and classifications and to use them within the difficulties which are characterized by way of huge volumes of empirical information.The 3rd of the desired algorithms relies on targeted variations of time sequence to issues of a small pattern and larger fluctuations. program of conventional algorithms within the thought of arrays of the empirical info calls for complicated calculations. the issues defined in offered works, are genuine and that is why the utilizing in them of the provided algorithms includes no longer illustrative, yet massive personality. the issues in query: impact of meteorological components on serious values: capture of fish(hunchback salmon) within the Amur river, freezing within the Tatar strait, numbers contaminated by way of tick-borne [vernal] encephalitis and different epidemic illnesses in Primorye Territory, impact of financial differences on a variety of age teams of the inhabitants and on dynamics of a inhabitants in towns of the Primorye Territory, impression of world warming on fluctuations of floor temperature in a variety of components of the some distance East.
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130, p. 79 – 94. (In Russian). A. Intraannual bundles of climatic parameters//. Pacific Oceanography, 2003. Vol. 1, № 2, pp. 144-148. Translated by Vera Kochetova (Far Eastern State Technical University). In: Efficient Algorithms of Time Series Processing… ISBN 978-1-60692-062-6 Editor: G. Sh. Tsitsiashvili © 2009 Nova Science Publishers, Inc. Radchenkova** * Pacific Institute of Geography, FEB RAS, Vladivostok, Russia ** Institute of Applied Mathematics, FEB RAS, Vladivostok, Russia At present, there is the extensive scientific literature concerning the prognostic subjects.
It should be noted that the method itself of the factor temporal prognosis of the critical levels of the infection rate is not presented in this paper because it will be described in detail in our next work in these collected articles. So, let us consider some results of the preliminary evaluation of the factor temporal prognosis of the TE infection rate. The results of the first stage of prognosis for all identified focal territories of Primorsky Krai are given in Table 4. 8%. 7%) in Nakhodkinsky focal district.
83 Table 2. 71 1 Application of Experience Method of the Recognition by Interval… 19 The reliable information for extreme ice cover prognosis in the Tatar Strait that are used are based on the above-earth pressure over the same regions that were explored for the Н500 fields (30°-55°N, 120°-160°E). The results of calculation are present in Table 2. The data from Table 2 testify to a greater information rate (presence of great number of units) of the above-earth pressure field in July, September, October that tallies with Н500 geopotential data.