Data Analysis and Applications 2

Data Analysis and Applications 2

by Christos H. Skiadas, James R. Bozeman
Released May 2019
Publisher(s): Wiley-ISTE
ISBN: 9781786304476

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Book description

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

Volume 2 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into four parts: Part 1 examines (in)dependence relationships, innovation in the Nordic countries, dentistry journals, dependence among growth rates of GDP of V4 countries, emissions mitigation, and five-star ratings; Part 2 investigates access to credit for SMEs, gender-based impacts given Southern Europe’s economic crisis, and labor market transition probabilities; Part 3 looks at recruitment at university job-placement offices and the Program for International Student Assessment; and Part 4 examines discriminants, PageRank, and the political spectrum of Germany.

Table of contents

  1. Cover
  2. Preface
  3. Introduction
  4. PART 1: Applications
    1. 1 Context-specific Independence in Innovation Study
      1. 1.1. Introduction
      2. 1.2. Parametrization for CS independencies
      3. 1.3. Stratified chain graph models
      4. 1.4. Application on real data
      5. 1.5. Conclusion
      6. 1.6. References
    2. 2 Analysis of the Determinants and Outputs of Innovation in the Nordic Countries
      1. 2.1. Introduction
      2. 2.2. Innovation
      3. 2.3. Methodology
      4. 2.4. Results
      5. 2.5. Conclusion
      6. 2.6. References
    3. 3 Bibliometric Variables Determining the Quality of a Dentistry Journal
      1. 3.1. Introduction
      2. 3.2. Statistical methodology
      3. 3.3. Results
      4. 3.4. Conclusions
      5. 3.5. Acknowledgment
      6. 3.6. References
    4. 4 Analysis of Dependence among Growth Rates of GDP of V4 Countries Using Four-dimensional Vine Copulas
      1. 4.1. Introduction
      2. 4.2. Theory
      3. 4.3. Results
      4. 4.4. Conclusion and future work
      5. 4.5. Acknowledgment
      6. 4.6. References
    5. 5 Monitoring the Compliance of Countries on Emissions Mitigation Using Dissimilarity Indices
      1. 5.1. Introduction
      2. 5.2. The proposed method
      3. 5.3. Application of method
      4. 5.4. Conclusions
      5. 5.5. Appendix
      6. 5.6. References
    6. 6 Maximum Entropy and Distributions of Five-Star Ratings
      1. 6.1. Introduction
      2. 6.2. Entropy framework to five-star ratings
      3. 6.3. Maximum entropy of ratings for values k = 1, 2, 3, ..., 30
      4. 6.4. Application to real five-star rating data
      5. 6.5. Conclusions
      6. 6.6. References
  5. PART 2: The Impact of the Economic and Financial Crisis in Europe
    1. 7 Access to Credit for SMEs after the 2008 Financial Crisis: The Northern Italian Perspective
      1. 7.1. Introduction
      2. 7.2. Italian SMEs and access to credit
      3. 7.3. The data
      4. 7.4. Methodology
      5. 7.5. Analysis and discussion
      6. 7.6. Conclusion
      7. 7.7. References
    2. 8 Gender-Based Differences in the Impact of the Economic Crisis on Labor Market Flows in Southern Europe
      1. 8.1. Introduction
      2. 8.2. Data, methods and limitations
      3. 8.3. Results
      4. 8.4. Conclusions and discussion
      5. 8.5. References
    3. 9 Measuring Labor Market Transition Probabilities in Europe with Evidence from the EU-SILC
      1. 9.1. Introduction
      2. 9.2. Data, methods and limitations
      3. 9.3. Results
      4. 9.4. Conclusions
      5. 9.5. References
  6. PART 3: Student Assessment and Employment in Europe
    1. 10 Almost Graduated, Close to Employment? Taking into Account the Characteristics of Companies Recruiting at a University Job Placement Office
      1. 10.1. Introduction
      2. 10.2. Recruiters and graduates seeking an HEI common ground.
      3. 10.3. Web survey pitfalls: considerations for data collection.
      4. 10.4. Sampled recruiters: an outline
      5. 10.5. Conclusion
      6. 10.6. References
    2. 11 How Variation of Scores of the Programme for International Student Assessment can be Explained through Analysis of Information
      1. 11.1. Introduction
      2. 11.2. Multiplicative models and Zighera’s parameterization.
      3. 11.3. Application to PISA surveys
      4. 11.4. References
  7. PART 4: Visualization
    1. 12 A Topological Discriminant Analysis
      1. 12.1. Introduction
      2. 12.2. Topological equivalence
      3. 12.3. Topological discriminant analysis
      4. 12.4. Application example
      5. 12.5. Conclusion and perspectives
      6. 12.6. Appendix
      7. 12.7. References
    2. 13 Using Graph Partitioning to Calculate PageRank in a Changing Network
      1. 13.1. Introduction
      2. 13.2. Changes in personalization vector
      3. 13.3. Adding or removing edges between components
      4. 13.4. Conclusions
      5. 13.5. References
    3. 14 Visualizing the Political Spectrum of Germany by Contiguously Ordering the Party Policy Profiles
      1. 14.1. Introduction
      2. 14.2. The model
      3. 14.3. Conclusions
      4. 14.4. References
  8. List of Authors
  9. Index
  10. End User License Agreement

Product information

  • Title: Data Analysis and Applications 2
  • Author(s): Christos H. Skiadas, James R. Bozeman
  • Release date: May 2019
  • Publisher(s): Wiley-ISTE
  • ISBN: 9781786304476