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Data analysis and applications. 2, Utilization of results in Europe and other topics

Skiadas, Christos H., editor.

Data analysis and applications. 2, Utilization of results in Europe and other topics

Skiadas, Christos H., editor.

9781119579533

9781119579649

9781119579465

1 online resource (xxvii, 214 pages)

Big data, artificial intelligence and data analysis set ; volume 3

Innovation, entrepreneurship and management series. Big data, artificial intelligence and data analysis set ; v. 3.

Cover; Half-Title Page; Title Page; Copyright Page; Contents; Preface; Introduction: 50 Years of Data Analysis: From Exploratory Data Analysis to Predictive Modeling and Machine Learning; I.1. The revolt against mathematical statistics; I.2. EDA and unsupervised methods for dimension reduction; I.2.1. The time of syntheses; I.2.2. The time of clusterwise methods; I.2.3. Extensions to new types of data; I.2.4. Nonlinear data analysis; I.2.5. The time of sparse methods; I.3. Predictive modeling; I.3.1. Paradigms and paradoxes; I.3.2. From statistical learning theory to empirical validation

I.3.3. ChallengesI. 4. Conclusion; I.5. References; PART 1: Applications; 1. Context-specific Independence in Innovation Study; 1.1. Introduction; 1.2. Parametrization for CS independencies; 1.3. Stratified chain graph models; 1.4. Application on real data; 1.5. Conclusion; 1.6. References; 2. Analysis of the Determinants and Outputs of Innovation in the Nordic Countries; 2.1. Introduction; 2.2. Innovation; 2.3. Methodology; 2.4. Results; 2.5. Conclusion; 2.6. References; 3. Bibliometric Variables Determining the Quality of a Dentistry Journal; 3.1. Introduction; 3.2. Statistical methodology

3.3. Results3.4. Conclusions; 3.5. Acknowledgment; 3.6. References; 4. Analysis of Dependence among Growth Rates of GDP of V4 Countries Using Four-dimensional Vine Copulas; 4.1. Introduction; 4.2. Theory; 4.3. Results; 4.4. Conclusion and future work; 4.5. Acknowledgment; 4.6. References; 5. Monitoring the Compliance of Countries on Emissions Mitigation Using Dissimilarity Indices; 5.1. Introduction; 5.2. The proposed method; 5.2.1. Description of method for individual data; 5.2.2. Description of method for grouped data; 5.3. Application of method

5.3.1. Application of method for individual data5.3.2. Application of method for grouped data; 5.4. Conclusions; 5.5. Appendix; 5.6. References; 6. Maximum Entropy and Distributions of Five-Star Ratings; 6.1. Introduction; 6.2. Entropy framework to five-star ratings; 6.3. Maximum entropy of ratings for values k = 1,2,3,. . .,30; 6.3.1. Ratings with two outcomes (k = 1); 6.3.2. Ratings with three Outcomes (k=2); 6.3.3. Ratings with four outcomes (k=3); 6.3.4. Ratings with five outcomes (k = 4); 6.3.5. Rating entropy for outcomes k>4

6.3.6. Maximum entropy constraints for the binomial distribution6.4. Application to real five-star rating data; 6.5. Conclusions; 6.6. References; PART 2: The Impact of the Economic and Financial Crisis in Europe; 7. Access to Credit for SMEs after the 2008 Financial Crisis: The Northern Italian Perspective; 7.1. Introduction; 7.2. Italian SMEs and access to credit; 7.3. The data; 7.4. Methodology; 7.5. Analysis and discussion; 7.5.1. The measure for the Great Recession period (2008-2012); 7.5.2. The measure for the recovery period (2013-2015); 7.5.3. Comparing the two crisis phases

"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."-- Provided by publisher

John Wiley and Sons

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Skiadas, Christos H.,

Bozeman, James R.,

https://onlinelibrary.wiley.com/doi/book/10.1002/9781119579465