scholarly journals Statistical Analysis and Forecasting of Trade Relations between Italy and Georgia

2020 ◽  
Author(s):  
Simon Gelashvili
Keyword(s):  
Statistical Analysis ◽  
Trade Relations

scholarly journals Statistical Analysis of Long-Term Trends of Trade Relations between Georgia and Canada

2019 ◽  
Vol 12 (2) ◽  
pp. 174
Author(s):  
Simon Gelashvili
Keyword(s):  
Time Series ◽  
Statistical Analysis ◽  
Total Trade ◽  
Trade Relations ◽  
Trade Turnover ◽  
Long Term Trends ◽  
Trade Partner ◽  
The Absolute

The article analyzes the long-term time series of 1995-2016 depicting trade relations between Georgia and Canada. Georgia's trade partner countries are ranked as a whole trade turnover, as well as export and import volume of goods and the ordinary position of Canada is established. The nature and direction of total trade turnover, as well as export and import tendencies are revealed. In the process of statistical analysis, the absolute and relative indicators were calculated. The export and import volume of 1995-2016 is also considered by the commodity groups and the first five of the largest commodity groups are drawn in both directions. The statistics show that the trade relations between Canada and Georgia and its development are important for both countries.

scholarly journals ROLE OF THE RUSSIAN FEDERATION IN THE REGULATION OF FOREIGN TRADE ACTIVITIES

2020 ◽  
Vol 2 (26(53)) ◽  
pp. 25-29
Author(s):  
A.K. Grigoreva
Keyword(s):  
Public Policy ◽  
Statistical Analysis ◽  
Free Trade ◽  
Russian Federation ◽  
Economic Activity ◽  
World Trade ◽  
Research Process ◽  
Trade Relations ◽  
The Russian Federation

The purpose of the article is to consider the role of Russia in regulating issues related to foreign economic activity. The methods of state policy are considered, the situation in 2019-2020 in the field of world trade is studied. In the research process, methods of logical, statistical analysis were used. Conclusion: public policy is divided into protectionism and free trade. Relations with China and Belarus have become more complicated.

scholarly journals Romania’s foreign trade with the European Union in 2008

2010 ◽  
Author(s):  
Ancuta Stangaciu
Keyword(s):  
European Union ◽  
International Trade ◽  
Statistical Analysis ◽  
Foreign Trade ◽  
Trade Flows ◽  
The European Union ◽  
Trade Relations ◽  
Wide Range ◽  
Trade Partners ◽  
Statistical Analysis Methods

In this study, I proposed to analyze the spatial concentration of international trade flows between Romania and the European Union both overall and by the sections of the Combined Nomenclature. Using statistical analysis methods such as square and Gini’s index or Onicescu informational energy, I concluded that Romania’s main trade partners are Italy, Germany and France and trade relations with these 3 countries are characterized by exchanges of good to cover, generally a wide range of products.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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