Leading a highly demanding professional life Jurgen Ziewe compensated by practicing intensive meditation to gain balance and spiritual inspiration. He soon discovered there was more to life when he was catapulted out of his body into a parallel universe. For nearly forty years he kept a secret diary detailing his excursions, which reveal a fascinating alternate reality that awaits us once we leave our mortal bodies. The author discovered a multidimensional universe, which he could step into in full waking consciousness. He returned each time with breath-taking accounts of a world which forms not only the natural extension but the foundation of our physical universe. Jurgen Ziewe gives vivid and compelling accounts of meeting his deceased relatives, of interviewing the 'dead', and even of accompanying himself in a previous life. He describes with the zest of a travel journalist some of the mind-bending places he has visited, and recalls the excitement of unearthing the magical powers found there.
This book deals with the mathematical properties of dimensioned quantities, such as length, mass, voltage, and viscosity. Beginning with a careful examination of how one expresses the numerical results of a measurement and uses these results in subsequent manipulations, the author rigorously constructs the notion of dimensioned numbers and discusses their algebraic structure. The result is a unification of linear algebra and traditional dimensional analysis that can be extended from the scalars to which the traditional analysis is perforce restricted to multidimensional vectors of the sort frequently encountered in engineering, systems theory, economics, and other applications.
Several decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent years, multidimensional item response theory (MIRT) has become a burgeoning topic in psychological and educational measurement. Considered a cutting-edge statistical technique, the methodology underlying MIRT can be complex, and therefore doesn’t receive much attention in introductory IRT courses. However author Wes Bonifay shows how MIRT can be understood and applied by anyone with a firm grounding in unidimensional IRT modeling. His volume includes practical examples and illustrations, along with numerous figures and diagrams. Multidimensional Item Response Theory includes snippets of R code interspersed throughout the text (with the complete R code included on an accompanying website) to guide readers in exploring MIRT models, estimating the model parameters, generating plots, and implementing the various procedures and applications discussed throughout the book.
This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine). The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed. The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed. The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents. This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.
Outlines a set of techniques that enables a researcher to explore the hidden structure of large databases. These techniques use proximities to find a configuration of points that reflect the structure in the data.
This outstanding presentation of the fundamentals of multidimensional scaling illustrates the applicability of MDS to a wide variety of disciplines. The first two sections provide ground work in the history and theory of MDS. The final section applies MDS techniques to such diverse fields as physics, marketing, and political science.
A systematic conceptual, theoretical, and methodological introduction to multi-dimensional poverty measurement and analysis. It provides a lucid overview of the problems that a range of multidimensional techniques can address and sets out a synthetic introduction of counting and axiomatic approaches to multidimensional poverty measurement
This book narrates the living conditions and incidence of poverty among households belonging to the different social groups in Kerala, India. Using a micro-level study, it investigates the inter-group variations with regards to the incidence of multidimensional poverty in the sample area, the Kasaragod District, Kerala. The Regional Human Development Enabling Index (RHDEI) and the Multidimensional Poverty Index (MPI) are the main tools used for analysis here. The book highlights the incidence, intensity, and disparity of multidimensional poverty in Kerala, and clearly pinpoints the intra-state mirage of the achievements of Kerala in the dimensions of human development among the social groups living in the state. The book also explores the socio-cultural barriers of these marginalized groups, which should become the focus and concern for policy makers and stakeholders in governance.
“An indispensable reference for all researchers interested in the measurement of social welfare. . .” —François Bourguignon, Emeritus Professor at Paris School of Economics, Former Chief Economist of the World Bank. “. . .a detailed, insightful, and pedagogical presentation of the theoretical grounds of multidimensional well-being, inequality, and poverty measurement. Any student, researcher, and practitioner interested in the multidimensional approach should begin their journey into such a fascinating theme with this wonderful book.” —François Maniquet, Professor, Catholic University of Louvain, Belgium. A Review of the Multidimensional Approaches to the Measurement of Welfare, Inequality, and Poverty Analyzing Multidimensional Well-Being: A Quantitative Approach offers a comprehensive approach to the measurement of well-being that includes characteristics such as income, health, literacy, and housing. The author presents a systematic comparison of the alternative approaches to the measurement of multidimensional welfare, inequality, poverty, and vulnerability. The text contains real-life applications of some multidimensional aggregations (most of which have been designed by international organizations such as the United Nations Development Program and the Organization for Economic Co-operation and Development) that help to judge the performance of a country in the various dimensions of well-being. The text offers an evaluation of how well a society is doing with respect to achievements of all the individuals in the dimensions considered and clearly investigates how achievements in the dimensions can be evaluated from different perspectives. The author includes a detailed scrutiny of alternative techniques for setting weights to individual dimensional metrics and offers an extensive analysis into both the descriptive and welfare theoretical approaches to the concerned multi-attribute measurement and related issues. This important resource: • Contains a synthesis of multidimensional welfare, inequality, poverty, and vulnerability analysis • Examines aggregations of achievement levels in the concerned dimensions of well-being from various standpoints • Shows how to measure poverty using panel data instead of restricting attention to a single period and when we have imprecise information on dimensional achievements • Argues that multidimensional analysis is intrinsically different from marginal distributions-based analysis Written for students, teachers, researchers, and scholars, Analyzing Multidimensional Well-Being: A Quantitative Approach puts the focus on various approaches to the measurementof the many aspects of well-being and quality of life. Satya R. Chakravarty is a Professor of Economics at the Indian Statistical Institute, Kolkata, India. He is an Editor of Social Choice and Welfare and a member of the Editorial Board of Journal of Economic Inequality.
Multidimensional Grief Therapy (MGT) provides counselors, social workers, psychologists, and psychiatrists (as well as students in these fields) with a flexible program for assessing and supporting children and adolescents who have experienced bereavement. MGT is a strength-based intervention, designed to reduce unhelpful grief reactions that prevent adjustment, and promote adaptive grief reactions that enable children to cope better after a death. It also reduces associated symptoms of psychological distress and helps bereaved children and adolescents lead healthy, happy, productive lives. As young people grieve in different ways and “one-size-fits-all” treatments often lack effectiveness, MGT uses an assessment-driven, two-phased approach to effectively address the unique mental health needs of diverse youth. This manual provides a wealth of activities and handouts designed specifically to engage and empower youth after experiencing a death, including under traumatic circumstances.
