4 results for "Data Science"

Multilevel statistical models

Goldstein, Harvey
This book provides a clear introduction to this important area of statistics. The author provides a wide of coverage of different kinds of multilevel models, and how to interpret different statistical methodologies and algorithms applied to such models. This 4th edition reflects the growth and interest in this area and is updated to include new chapters on multilevel models with mixed response types, smoothing and multilevel data, models with correlated random effects and modeling with variance.
Wiley 2011-01 358 pages

GIS for science: applying mapping and spatial analytics. Volume 2

Diamond, Jared M.
"GIS for Science presents a collection of real-world stories about modern science and a cadre of scientists who use mapping and spatial analytics to expand their understanding of the world. The accounts in this book are written for a broad audience including professional scientists, the swelling ranks of citizen scientists, and people generally interested in science and geography. Scientific data are brought to life with GIS technology to study a range of issues relevant to the functioning of planet Earth in a natural sense as well as the impacts of human activity. In a race against the clock, the scientists profiled in this volume are using remote sensing, web maps, Esri StoryMaps, and spatial analysis to document an array of issues with a geographic dimension that range from climate change, natural disasters, and loss of biodiversity, to political strife, polar ice loss, and resource shortages. These stories present GIS ideas and inspiration that users can apply across many disciplines, making this volume relevant to diverse scientific audience. See how scientists working on the world's most pressing problems apply geographic information systems--GIS." -- Provided by publisher.
Esri Press 2020 203 pages

Contemporary Chinese politics: new sources, methods, and field strategies

Allen Carlson,Mary E. Gallagher,Kenneth Lieberthal,Melanie Manion
"Contemporary Chinese Politics: Sources, Methods, and Field Strategies considers how new and diverse sources and methods are changing the study of Chinese politics. Contributors spanning three generations in China studies place their distinct qualitative and quantitative methodological approaches in the framework of the discipline and point to challenges or opportunities (or both) of adapting new sources and methods to the study of contemporary China. How can we more effectively use new sources and methods of data collection? How can we better integrate the study of Chinese politics into the discipline of political science, to the betterment of both? How can we more appropriately manage the logistical and ethical problems of doing political research in the challenging Chinese environment? In addressing these questions, this comprehensive methodological survey will be of immense interest to graduate students heading into the field for the first time and experienced scholars looking to keep abreast of the state of the art in the study of Chinese politics"--
Cambridge University Press 2010-07-29 315 pages

Louis Guttman on theory and methodology: selected writings

Guttman, Louis
Louis Guttman’s pioneering work on scaling theory is cited in Science (1971) as one of 62 major advances in the social sciences in this century, together with those of Freud, Pavlov, Weber, Keynes and others. Scaling theory led Guttman to develop his non-metric methods for data analysis and facet theory, his crowning contribution. Drawing on a large number of periodicals, books and unpublished papers, this volume offers a representative overview of Guttman’s work and demonstrates its utility for cumulative theory-development in sociology, psychology, education, statistics and other disciplines. The basis of facet-theory, and its applications in fields such as social attitudes and intelligence testing, are presented first-hand. Surprising as it may sound, Guttman’s main interest was in theory rather than method. In fact, he saw the two as inseparable, arguing that 'the form of data analysis is part of the hypothesis'.
Dartmouth 1994-02-28 413 pages