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  • © 2017

Mathematical-Statistical Models and Qualitative Theories for Economic and Social Sciences

  • Presents recent applications of computational intelligence to social systems
  • Devoted to the quantification of social systems
  • Presents quantitative theories and models for social systems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 104)

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Table of contents (29 chapters)

  1. Front Matter

    Pages i-xvii
  2. Recent Trends in Mathematical and Statistical Models for Economic and Social Sciences

    1. Front Matter

      Pages 1-1
    2. Health Risk Assessment of Combustion Products from Simulated Residential Fire

      • Josef Navrátil, Veronika Sadovská, Irena Švarcová
      Pages 15-23
    3. Cost Assessment of Training Using Constructive Simulation

      • Martin Hubacek, Vladimir Vrab
      Pages 71-80
    4. From the Pictorial Art to the Linear Transformations

      • Ferdinando Casolaro, Alessandra Rotunno
      Pages 95-106
    5. Identification of Effective Leadership Indicators in the Lithuania Army Forces

      • S. Bekesiene, Šárka Hošková-Mayerová, P. Diliunas
      Pages 107-122
    6. Cognitive Aspects of Interpretation of Image Data

      • Hana Svatoňová, Radovan Šikl
      Pages 161-175
    7. Misconceptions Regarding Providing Citations: To Neglect Means to Take Risk for Future Scientific Research

      • Engin Baysen, Šárka Hošková-Mayerová, Nermin Çakmak, Fatma Baysen
      Pages 177-186
    8. Reasoning and Decision Making in Practicing Counseling

      • Antonio Maturo, Antonella Sciarra
      Pages 265-281

About this book

This book presents a broad spectrum of problems related to statistics, mathematics, teaching, social science, and economics as well as a range of tools and techniques that can be used to solve these problems. It is the result of a scientific collaboration between experts in the field of economic and social systems from the University of Defence in Brno (Czech Republic), G. d’Annunzio University of Chieti-Pescara (Italy), Pablo de Olavid eUniversity of Sevilla (Spain), and Ovidius University in Constanţa, (Romania). The studies included were selected using a peer-review process and reflect heterogeneity and complexity of economic and social phenomena. They and present interesting empirical research from around the globe and from several research fields, such as statistics, decision making, mathematics, complexity, psychology, sociology and economics.

The volume is divided into two parts. The first part, “Recent trends in mathematical and statistical models for economic and social sciences”, collects papers on quantitative matters, which propose mathematical and statistical models for social sciences, economics, finance, and business administration. The second part, “Recent trends in qualitative theories for economic and social sciences”, includes papers on qualitative matters, which discuss social, economic, and teaching issues.

It is an ideal reference work for all those researchers interested in recent quantitative and qualitative tools. Covering a wide range of topics, it appeals in equal measure to mathematicians, statisticians, sociologists, philosophers, and specialists in the fields of communication, social and political sciences.

Editors and Affiliations

  • Department of Mathematics and Physics, Faculty of Military Technology, University of Defence, Brno, Czech Republic

    Šárka Hošková-Mayerová

  • Department of Business Administration, University “G. d’Annunzio” of Chieti-Pescara, Pescara, Italy

    Fabrizio Maturo

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

Bibliographic Information

  • Book Title: Mathematical-Statistical Models and Qualitative Theories for Economic and Social Sciences

  • Editors: Šárka Hošková-Mayerová, Fabrizio Maturo, Janusz Kacprzyk

  • Series Title: Studies in Systems, Decision and Control

  • DOI: https://doi.org/10.1007/978-3-319-54819-7

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2017

  • Hardcover ISBN: 978-3-319-54818-0Published: 05 July 2017

  • Softcover ISBN: 978-3-319-85492-2Published: 01 August 2018

  • eBook ISBN: 978-3-319-54819-7Published: 20 June 2017

  • Series ISSN: 2198-4182

  • Series E-ISSN: 2198-4190

  • Edition Number: 1

  • Number of Pages: XVII, 437

  • Number of Illustrations: 25 b/w illustrations, 79 illustrations in colour

  • Topics: Computational Intelligence, Data-driven Science, Modeling and Theory Building, Methodology of the Social Sciences

Buy it now

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access