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Visualization and Verbalization of Data
Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications. The first part of the book explains the historical origins of correspondence analysis and associated methods. The second part concentrates on the contributions made by the school of Jean-Paul Benzécri and related movements, such as social space and geometric data analysis. Although these topics are viewed from a French perspective, the book makes them understandable to an international audience. Throughout the text, well-known experts illustrate the use of the methods in practice. Examples include the spatial visualization of multivariate data, cluster analysis in computer science, the transformation of a textual data set into numerical data, the use of quantitative and qualitative variables in multiple factor analysis, different possibilities of recoding data prior to visualization, and the application of duality diagram theory to the analysis of a contingency table.
Mastering Data Analysis with R
Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization About This Book Handle your data with precision and care for optimal business intelligence Restructure and transform your data to inform decision-making Packed with practical advice and tips to help you get to grips with data mining Who This Book Is For If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic. What You Will Learn Connect to and load data from R's range of powerful database...
Warlike and Peaceful Societies
Are humans violent or peaceful by nature? We are both. In this ambitious and wide-ranging book, Agner Fog presents a ground-breaking new argument that explains the existence of differently organised societies using evolutionary theory. It combines natural sciences and social sciences in a way that is rarely seen. According to a concept called regality theory, people show a preference for authoritarianism and strong leadership in times of war or collective danger, but desire egalitarian political systems in times of peace and safety. These individual impulses shape the way societies develop and organise themselves, and in this book Agner argues that there is an evolutionary mechanism behind t...
Gender, Family, and Adaptation of Migrants in Europe
This volume documents the life uncertainties revealed by migrants’ biographies. For international migrants, life journeys are less conventional or patterned, while their family, work, and educational trajectories are simultaneously more fragmented and intermingled. The authors discuss the challenges faced by migrants and returnees when trying to make sense of their life courses after years of experience in other countries with different age norms and cultural values. The book also examines the ways to reconcile competing cultural expectations of both origin and destination societies regarding the timing of transitions between roles to provide a meaningful account of their life courses. Migration is, itself, a major life event, with profound implications for the pursuit of migrants’ life goals, organization of family life, and personal networks, and it can affect, to a considerable degree, their subjective well-being. Chapter 9 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
This two-volume set LNCS 12658 and 12659 constitutes the thoroughly refereed proceedings of the 6th International MICCAI Brainlesion Workshop, BrainLes 2020, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, and the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge. These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in Lima, Peru, in October 2020.* The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (16 selected papers from 21 submissions); brain tumor image segmentation (69 selected papers from 75 submissions); and computational precision medicine: radiology-pathology challenge on brain tumor classification (6 selected papers from 6 submissions). *The workshop and challenges were held virtually.
Quantifying Approaches to Discourse for Social Scientists
This book provides an overview of a range of quantitative methods, presenting a thorough analytical toolbox which will be of practical use to researchers across the social sciences as they face the challenges raised by new technology-driven language practices. The book is driven by a reflexive mind-set which views quantifying methods as complementary rather than in opposition to qualitative methods, and the chapters analyse a multitude of different intra- and extra-textual context levels essential for the understanding of how meaning is (re-)constructed in society. Uniting contributions from a range of national and disciplinary traditions, the chapters in this volume bring together state-of-the-art research from British, Canadian, French, German and Swiss authors representing the fields of Political Science, Sociology, Linguistics, Computer Science and Statistics. It will be of particular interest to discourse analysts, but also to other scholars working in the digital humanities and with big data of any kind.
Encyclopedia of Research Design
"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.
Language Use and Linguistic Structure
The twenty-three articles in this volume are based on papers and posters presented at the Olomouc Linguistics Colloquium (OLINCO) at Palacký University in the Czech Republic in June 7-9, 2018. This conference welcomed papers that combined analyses of language structure with generalizations about language use. The thematic sections are as follows: Part I. Micro-syntax: The Structure and Interpretation of Verb Phrases; Part II. Micro-syntax: Word-Internal Morphosyntax in Nominal Projections; Part III. Macro-syntax: Structure and Interpretation of Discourse Markers and Projections; Part IV: Empirical Approaches to Contrastive Linguistics and Translation Studies. Články v tomto sborníku vych...
Romance Phonetics and Phonology
This book explores recurring topics in Romance phonetics and phonology. Topics studied range from the low-level mechanical processes involved in speech production and perception to high-level representation and computation, based on data from across the Romance language family, including from varieties that are less widely studied.
Flexible Imputation of Missing Data
Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science—multiple imputation—fills gaps in the data with plausible values, the uncertainty of which is coded in the data itself. It also solves other problems, many of which are missing data problems in disguise. Flexible Imputation of Missing Data is supported by many examples using real data taken from the author's vast experience of collaborative research, and presents a practical guide for handling missing data under the framework of multiple imputation. Furthermore, detailed guidance of implementation in R usin...
