Application and Role of Statistics in Multi-Disciplinary Research Advancement in research requires multi-disciplinary orientation for providing sustainable solutions to political, economic, social, psychological or international problems and statistics has emerged as a separate discipline for enriching other disciplines of study. The purpose of bringing this book is to disseminate the dissections and cross dissections of multi-disciplinary philosophy and mission of the Central University of Haryana. The present edited book is a compilation of selected research papers which were presented during a Two Days National Seminar on Application and Role of Statistics in Multi-Disciplinary Research organised in the Central University of Haryana on 23rd-24th Oct. 2013. This volume comprises mainly five sections. Section-1 comprises of papers in the areas of 'Application of Statistics in Embryonic Economic Issues' dealing with issues of crop diversification, stock market volatility due to macro-economic factors and the food products industry. Section-2 includes research articles in 'Role and Application of Statistics in Business Decision Areas' which focus on the issues related to financial inclusion, Islamic finance, risk in e-transaction and retention policy. Section-3 covers the articles in the areas of “Emerging Dimensions of Statistics in Various Sectors” covering the use of statistics in medical science, engineering and designing. Sections-4 is composed of the papers from the areas of 'Statistics in Social Science, Policy Planning and Governance” where papers emphasising on skill inclusion in degree curricula, co-operative banking and statistical challenges in law and politics are included. The last Section-5 covers the research articles from the areas of 'Statistics in Management of Financial Services in which empirical articles on service quality in banks and health insurance aspects are added from perceptual viewpoints. Though the papers have been selected from different disciplines of study, an attempt is made to reflect the cross-disciplinary ideological churning testified by statistical analysis-empirical as well as conceptual. Overall this edited volume is assimilation, dissection and cross dissection of various disciplines using statistical tools and techniques. Hope this edited version will serve the purpose of scholars, researchers and teachers to navigate into a deep sea of multi-disciplinary insights.

This book is on research methods and statistics for cross-cutting research. Framed from a multi-disciplinary perspective, the book presents and grapples with research methods and approaches used in research across disciplines. It magnifies the different contexts where research methods intersect and complement each other for effective data collection and analysis. Noting that most of the texts on research are field or subject specific regardless of the fact that most research methods and approaches today are complementary and overlapping, the book advances the argument that it is high time that researchers consider producing and using research texts that are multi-disciplinary and promote generative dialogue across fields. The novelty and richness of the book lie in its attempt to offer nuanced research methods and statistics, all in one book, which can be used in different disciplines and situations. More importantly and without romanticising the potential of multi-disciplinary research, the book offers added insights and pointers on trends and evolutions in contemporary research. The book is an important addition to debates on contemporary research and multi-disciplinary discourses that have taken centre stage in recent years in many universities across the world. The book is handy to students and practitioners across fields.

This book examines how the discipline of statistics should respond to the changing environment in which statisticians work. What does the academic, industry, and government customer need? How can the content of courses and of the overall statistics educational experience be arranged to address the customer's needs? Interdisciplinary needs are described, and successful university programs in interdisciplinary statistics are detailed.

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.

Contains multidisciplinary units featuring the use of computer and other educational technologies and based on the National Educational Technology Standards for Students devised by ISTE.

This book constitutes the refereed proceedings of the IFIP WG 8.4, 8.9, TC 5 International Cross Domain Conference and Workshop on Availability, Reliability and Security, CD-ARES 2012, held in Prague, Czech Republic, in August 2012. The 50 revised papers presented were carefully reviewed and selected for inclusion in the volume. The papers concentrate on the many aspects of information systems bridging the gap between research results in computer science and the many application fields. They are organized in the following topical sections: cross-domain applications: aspects of modeling and validation; trust,security, privacy, and safety; mobile applications; data processing and management; retrieval and complex query processing; e-commerce; and papers from the colocated International Workshop on Security and Cognitive Informatics for Homeland Defense, SeCIHD 2012.