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

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;"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."--