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The Reshaping of West European Party Politics
This book focuses on the issue of the agenda of party politics. Studying how political parties come to compete about some issues rather than others allows us to assess the role of new political parties. This book highlights the central role of the parties that have traditionally governed in West European countries.
Multivariate scaling methods and the reconstruction of social spaces
Der Sammelband vereint Beiträge von führenden Forscherinnen und Forschern im Bereich statistischer Methoden und deren Anwendung in den Sozialwissenschaften mit einem besonderen Fokus auf sozialen Räumen. Multivariate Skalierungsmethoden für kategoriale Daten, speziell Korrespondenzanalyse, werden verwendet um die wichtigsten Dimensionen aus komplexen Kreuztabellen mit vielen Variablen zu extrahieren und Zusammenhänge in den Daten bildlich darzustellen. In diesem Band werden statistische Weiterentwicklungen, grundsätzliche methodologische Überlegungen und empirische Anwendungen multivariater Analysemethoden diskutiert. Mehrere Anwendungsbeispiele thematisieren verschiedene Aspekte des Raumes und deren soziologische Bedeutung: die Rekonstruktion „sozialer Räume“ mit statistischen Methoden, die Illustration räumlicher Beziehungen zwischen Nähe, Distanz und Ungleichheit, aber auch konkrete Interaktionen in urbanen Räumen. Der Band erscheint zur Würdigung der wissenschaftlichen Leistungen von Prof. Jörg Blasius.
Qualitative Research
This book provides invaluable guidance for thinking through and planning a qualitative study. Rather than offering recipes for specific techniques, master storyteller Robert Stake stimulates readers to discover "how things work" in organizations, programs, communities, and other systems. Topics range from identifying a research question to selecting methods, gathering data, interpreting and analyzing the results, and producing a well-thought-through written report. In-depth examples from actual studies emphasize the role of the researcher as instrument and interpreter, while boxed vignettes and learning projects encourage self-reflection and critical thinking. Other useful pedagogical features include quick-reference tables and charts, sample project management forms, and an end-of-book glossary. After reading this book, doctoral students and novice qualitative researchers will be able to plan a study from beginning to end.
Design and Emotion
There is considerable interest in and growing recognition of the emotional domain in product development. The relationship between the user and the product is paramount in industry, which has led to major research investments in this area. Traditional ergonomic approaches to design have concentrated on the user's physical and cognitive abil
Never Waste a Good Crisis
This book covers statistical consequences of breaches of research integrity such as fabrication and falsification of data, and researcher glitches summarized as questionable research practices. It is unique in that it discusses how unwarranted data manipulation harms research results and that questionable research practices are often caused by researchers’ inadequate mastery of the statistical methods and procedures they use for their data analysis. The author’s solution to prevent problems concerning the trustworthiness of research results, no matter how they originated, is to publish data in publicly available repositories and encourage researchers not trained as statisticians not to o...
Classification, Clustering, and Data Analysis
The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.
Reliable Knowledge Discovery
Reliable Knowledge Discovery focuses on theory, methods, and techniques for RKDD, a new sub-field of KDD. It studies the theory and methods to assure the reliability and trustworthiness of discovered knowledge and to maintain the stability and consistency of knowledge discovery processes. RKDD has a broad spectrum of applications, especially in critical domains like medicine, finance, and military. Reliable Knowledge Discovery also presents methods and techniques for designing robust knowledge-discovery processes. Approaches to assessing the reliability of the discovered knowledge are introduced. Particular attention is paid to methods for reliable feature selection, reliable graph discovery, reliable classification, and stream mining. Estimating the data trustworthiness is covered in this volume as well. Case studies are provided in many chapters. Reliable Knowledge Discovery is designed for researchers and advanced-level students focused on computer science and electrical engineering as a secondary text or reference. Professionals working in this related field and KDD application developers will also find this book useful.
Data Science
This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.
Convex Optimization & Euclidean Distance Geometry
The study of Euclidean distance matrices (EDMs) fundamentally asks what can be known geometrically given onlydistance information between points in Euclidean space. Each point may represent simply locationor, abstractly, any entity expressible as a vector in finite-dimensional Euclidean space.The answer to the question posed is that very much can be known about the points;the mathematics of this combined study of geometry and optimization is rich and deep.Throughout we cite beacons of historical accomplishment.The application of EDMs has already proven invaluable in discerning biological molecular conformation.The emerging practice of localization in wireless sensor networks, the global posi...
Optimal Analysis of Qualitative Data with Illustrations
This is an introductory book on how to optimally analyze non-quantitative data, based on the author’s experiences over 60 years of research. The major message to the readers is that qualitative (non-quantitative) data are much more informative than quantitative data. This is good news for readers in applied areas of statistics such as those in the social sciences and marketing research, where qualitative data are everywhere. But how can one analyze qualitative data quantitatively and extract more information than from the sophisticated analysis of quantitative data? The key rests in illustrations of difficult topics in a way that anyone can understand. It is the author’s wish soon the use of AI will open a gate for simple means for optimal analysis of qualitative data, as illustrated throughout the book.
