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Economic Systems Analysis: Statistical Indicators

  • Elena V. Sibirskaya
  • Lyudmila V. Oveshnikova
  • Lilia A. Mikheykina
  • Innara R. Lyapina

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 158)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Elena V. Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. Lyapina
    Pages 1-6
  3. Elena V. Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. Lyapina
    Pages 7-21
  4. Elena V. Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. Lyapina
    Pages 23-37
  5. Elena V. Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. Lyapina
    Pages 39-49
  6. Elena V. Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. Lyapina
    Pages 51-74
  7. Elena V. Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. Lyapina
    Pages 75-81
  8. Elena V. Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. Lyapina
    Pages 83-102
  9. Elena V. Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. Lyapina
    Pages 103-117
  10. Elena V. Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. Lyapina
    Pages 119-125
  11. Elena V. Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. Lyapina
    Pages 127-139

About this book

Introduction

This book explores a wide range of issues related to the methodology, organization, and technologies of analytical work, showing the potential of using analytical tools and statistical indicators for studying socio-economic processes, forecasting, organizing effective companies, and improving managerial decisions. At the level of “living knowledge” in the broad context, it describes the essence of analytical technologies and means of applying analytical and statistical work.

The book is of interest to readers regardless of their specialization: scientific research, medicine, pedagogics, law, administrative work, or economic practice. Starting from the premise that readers are familiar with the theory of statistics, which has formulated the general methods and principles of establishing the quantitative characteristics of mass phenomena and processes, it describes the concepts, definitions, indicators and classifications of socio-economic statistics, taking into consideration the international standards and the present-day practice of statistics in Russia. Although concise, the book provides plenty of study material as well as questions at the end of each chapter It is particularly useful for those interested in self-study or remote education, as well as business leaders who are interested in gaining a scientific understanding of their financial and economic activities.

Keywords

Economic Statistics Population Statistics Labor Force Statistics Statistic of Living Standards Statistics of Production Statistics of National wealth

Authors and affiliations

  • Elena V. Sibirskaya
    • 1
  • Lyudmila V. Oveshnikova
    • 2
  • Lilia A. Mikheykina
    • 3
  • Innara R. Lyapina
    • 4
  1. 1.Plekhanov Russian University of EconomicsMoscowRussia
  2. 2.Plekhanov Russian University of EconomicsMoscowRussia
  3. 3.Plekhanov Russian University of EconomicsMoscowRussia
  4. 4.Orel State University named after I.S. TurgenevOrelRussia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-91247-9
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-3-319-91246-2
  • Online ISBN 978-3-319-91247-9
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site
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