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Download or read book Data Analysis and Classification written by Krzysztof Jajuga and published by Springer Nature. This book was released on 2021-06-28 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems. The papers were originally presented at the 29th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2020, held in Sopot, Poland, September 7–9, 2020. Providing a balance between methodological contributions and empirical papers, the book is divided into five parts focusing on methodology, finance, economics, social issues and applications dealing with COVID-19 data. It is aimed at a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.

Download or read book The Gini Methodology written by Shlomo Yitzhaki and published by Springer Science & Business Media. This book was released on 2012-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gini's mean difference (GMD) was first introduced by Corrado Gini in 1912 as an alternative measure of variability. GMD and the parameters which are derived from it (such as the Gini coefficient or the concentration ratio) have been in use in the area of income distribution for almost a century. In practice, the use of GMD as a measure of variability is justified whenever the investigator is not ready to impose, without questioning, the convenient world of normality. This makes the GMD of critical importance in the complex research of statisticians, economists, econometricians, and policy makers. This book focuses on imitating analyses that are based on variance by replacing variance with the GMD and its variants. In this way, the text showcases how almost everything that can be done with the variance as a measure of variability, can be replicated by using Gini. Beyond this, there are marked benefits to utilizing Gini as opposed to other methods. One of the advantages of using Gini methodology is that it provides a unified system that enables the user to learn about various aspects of the underlying distribution. It also provides a systematic method and a unified terminology. Using Gini methodology can reduce the risk of imposing assumptions that are not supported by the data on the model. With these benefits in mind the text uses the covariance-based approach, though applications to other approaches are mentioned as well.

Download or read book Effective Investments on Capital Markets written by Waldemar Tarczyński and published by Springer. This book was released on 2019-07-17 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume presents current research and innovative solutions into capital markets, particularly in Poland. Featuring contributions presented at the 10th Capital Market Effective Investments (CMEI 2018) conference held in Międzyzdroje, Poland, this book explores the future of capital markets in Poland as well as comparing it with the capital markets of other developed regions around the world. Divided into four parts, the enclosed papers provide a background into the theoretical foundations of capital market investments, explores different approaches—both classical and contemporary—to investment decision making, analyzes the behaviors of investors using experimental economics and behavioral finance, and explores practical issues related to financial market investments, including real case studies. In addition, each part of the book begins with an introductory chapter written by thematic editors that provides an outline of the subject area and a summary of the papers presented.

Download or read book Classification and Data Analysis written by Krzysztof Jajuga and published by Springer Nature. This book was released on 2020-08-28 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18–20, 2019. Providing a balance between theoretical and methodological contributions and empirical papers, it covers a broad variety of topics, ranging from multivariate data analysis, classification and regression, symbolic (and other) data analysis, visualization, data mining, and computer methods to composite measures, and numerous applications of data analysis methods in economics, finance and other social sciences. The book is intended for a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.