Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into two parts: Computational Data Analysis, and Classification Data Analysis, with methods for both - providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.

Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and Demographic Methods and Data Analysis- providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.

This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 6th International Conference on ICT for Sustainable Development (ICT4SD 2021), held in Goa, India, on 5–6 August 2021. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire is designed to give students the experience of being a researcher by combining the interrelated concepts of research methods and statistics to better explain how the research process incorporates both elements. Employing a conversational tone throughout, coupled with an emphasis on decision-making, this best-selling text will spark students’ interest in conducting research and improve their ability to critically analyze research in their daily lives. The Third Edition includes a new chapter on measurement to better highlight its critical importance, updates for the 7th edition of the Publication Manual of the American Psychological Association, new examples related to social justice, additional sections on qualitative research methods, and more thorough integration of research ethics information and tips throughout each chapter.

Resilience in healthcare organizations is a complex issue, involving all stakeholders in the healthcare field. It is a highly topical issue, even more so in the wake of the recent health crisis. This book explores the impact of collective intelligence on the resilience of these organizations, and the role played by innovation. Health organizations comprise the structures and systems involved in treating patients, as well as healthcare professionals with medical, social or medico-social expertise, along with institutional and administrative players in the field. Innovation, Collective Intelligence and Resiliency in Healthcare Organizations alternates between theoretical readings and illustrative case studies. Their diversity is the result of their contributors: university researchers, institutional players from healthcare authorities, practicing caregivers in hospital structures or healthcare coordination support systems, and managers of healthcare structures and systems.

Equity crowdfunding is a new way for seed stage start-ups to generate initial capital and, as such, raises questions around the choices made by investors within this area. Understanding it is important for investor protection, as investors are generally unaware of the factors that can influence their decisions. However, investing in equity crowdfunding places the investor in a unique decision-making framework, in which resources such as images, videos and storytelling are all mobilized by entrepreneurs and platforms as tools of persuasion. This context thus seems to favor more holistic and emotional decision-making, rather than a process that is rational and analytical. This first volume centers on the emotional and axiological determinants of choice. A transdisciplinary theoretical analysis is carried out, combining different fields within the social sciences, primarily finance, marketing and psychology. This state of the art leads to the emergence of an original theoretical framework for understanding investment choices in equity crowdfunding.

The brand is the companys most important asset. In their financial statements, companies are faced with a lack of accounting recognition for the brands they have created, and value recognition for the brands they have acquired. This book studies the nature, characteristics and determinants of brand information published in companies annual and financial reports. It presents case studies on the methods of evaluating and developing brands, and analyzes annual reports published by listed companies, whose brands appear in international rankings. It reflects on the inadequacy of information and disclosed data to demonstrate the value of brands and the need to ensure that more reliable and relevant financial information is available to investors. Financial Information and Brand Value goes beyond the simple application of conceptual frameworks in order for the reader to master the practices related to brand valuation.

Equity crowdfunding is a new way for seed stage start-ups to generate initial capital and, as such, raises questions around the choices made by investors within this area. Understanding it is important for investor protection, as investors are generally unaware of the factors that can influence their decisions. However, investing in equity crowdfunding places the investor in a unique decision-making framework, in which resources such as images, videos and storytelling are all mobilized by entrepreneurs and platforms as tools of persuasion. This context thus seems to favor more holistic and emotional decision-making, rather than a process that is rational and analytical. Volume 1 presents a transdisciplinary theoretical analysis, combining different fields within the social sciences, primarily finance, marketing and psychology. In this second volume, an explanatory model is developed on the basis of this theoretical framework, which is then empirically tested using data from laboratory experiments. This book also proposes the original theory of emotional matching, which is both justified and substantiated. It personalizes behavior and offers a new perspective based on project characteristics and investor preferences.

This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including artificial intelligence and blockchain challenges, models and applications, cyber threats and intrusions analysis and detection, and many other applications for smart cyber ecosystems. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on artificial intelligence and blockchain for future cybersecurity applications.