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Institution

Central Economics and Mathematics Institute

FacilityMoscow, Russia
About: Central Economics and Mathematics Institute is a facility organization based out in Moscow, Russia. It is known for research contribution in the topics: Population & Foreign-exchange reserves. The organization has 297 authors who have published 580 publications receiving 6449 citations. The organization is also known as: Federal State Institution of Science Central Economics and Mathematics Institute of the Russian Academy of Sciences.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the stability and ergodicity of a special class of nonhomogeneous birth-death processes are studied and applications of estimates for queue-length process for Mt/Mt/S and Mt/S/S queues are considered.
Abstract: We study stability and ergodicity of a special class of nonhomogeneous birth-death processes and consider applications of estimates for queue-length process for Mt/Mt/S and Mt/Mt/S/S queues.

5 citations

Journal ArticleDOI
TL;DR: In this article, the authors present the results of related simulation studies, focused on the question whether this shape remains similar in Sparre Andersen's model of risk, and they show that it does not.
Abstract: Ruin capital is a function of premium rate set to render the probability of ruin within finite time equal to a given value. The analytical studies of this function in the classical Lundberg model of risk with exponential claim sizes done in Malinovskii (2014) have shown that the ruin capital’s shape is surprisingly simple. This work presents the results of related simulation studies. They are focused on the question whether this shape remains similar in Sparre Andersen’s model of risk.

5 citations

Journal ArticleDOI
TL;DR: The outcomes of the first stage of a study dedicated to the development and use of methods for assessing the results of projects supported by a science foundation are presented and a network of interrelated projects and foundations is identified.
Abstract: The outcomes of the first stage of a study dedicated to the development and use of methods for assessing the results of projects supported by a science foundation are presented. The initial empirical data were an array of nanoscience and nanotechnology projects supported by the Russian Foundation for Basic Research in the competitions of 2008 and 2009 and an array of papers that were prepared based on the results of those projects and registered in the Web of Science. The analysis was based on traditional bibliometric indicators and the indicators that had been proposed earlier by the authors of this article. The dependences of the formal characteristics of the arrays of papers on the stages of projects were discovered and the thematic structure of the arrays of projects and papers was determined. The approach "from a project to papers, from papers to projects "related" by common (joint) papers, from the related projects to other papers on these projects, and so on" was proposed. This approach makes it possible to identify a network of interrelated projects and foundations. Using this approach, numerous examples were found when the same papers were supported within different related projects of the same and/or other (domestic and foreign) foundations and the time distribution of the entire array of projects (including related) was obtained.

4 citations

Journal ArticleDOI
TL;DR: In this article, it was shown that the distribution of demand vectors derived from a not necessarily metonymic population is identical with the distribution derived from some metonymically population, which implies that the metonymy hypothesis cannot be rejected or confirmed on the basis of data from a single cross-section.

4 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202215
202139
202051
201942
201831