Economic systems analysis: statistical indicators / by Elena V . Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. L yapina. - 1st ed. - Cham : Springer International Publishing : Imprint: Springer, 2019. - xi, 139 p. : ill. ; 24 cm. - Studies in Systems, Decision and Control ; 158 .

Includes bibliographical references.

Introduction To Economic Statistics -- Population Statistics -- Stat istics Of Living Standards Of Population -- Statistical Study Of Labor Force -- Statistics Of Labor And Company Personnel -- Macroeconomic Ind icators In SNA -- Statistics Of Production -- Statistics Of National We alth -- Statistics Of Production Costs -- Statistics Of Financial Outco mes Of Company Operation.

This book explores a wide range of issues related to the methodology , organization, and technologies of analytical work, showing the potent ial of using analytical tools and statistical indicators for studying s ocio-economic processes, forecasting, organizing effective companies, a nd improving managerial decisions. At the level of "living knowledge" i n the broad context, it describes the essence of analytical technologie s and means of applying analytical and statistical work. The book is of interest to readers regardless of their specialization: scientific res earch, medicine, pedagogics, law, administrative work, or economic prac tice. Starting from the premise that readers are familiar with the theo ry of statistics, which has formulated the general methods and principl es of establishing the quantitative characteristics of mass phenomena a nd processes, it describes the concepts, definitions, indicators and cl assifications of socio-economic statistics, taking into consideration t he international standards and the present-day practice of statistics i n Russia. Although concise, the book provides plenty of study material as well as questions at the end of each chapter It is particularly usef ul for those interested in self-study or remote education, as well as b usiness leaders who are interested in gaining a scientific understandin g of their financial and economic activities.

9783319912479 9783030082079

2019-752157


Computational intelligence.
Economics.
Statistics.

330.015195