Insight into Statistics: for the Social Sciences, Nikolaj Malchow-Moller, Allan Wurtz
Автор: Pituch Keenan A Название: Applied Multivariate Statistics for the Social Sciences ISBN: 0415836662 ISBN-13(EAN): 9780415836661 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Noted for its breadth and depth of coverage of multivariate statistics and its emphasis on power, this classic text focuses on a conceptual understanding of the material rather than on proving results. Numerous examples, along with use of SAS and SPSS, indicate what the numbers mean and how to interpret the results.
Автор: Chloe N. Thurston Название: At the Boundaries of Homeownership ISBN: 1108434525 ISBN-13(EAN): 9781108434522 Издательство: Cambridge Academ Рейтинг: Цена: 24290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Homeownership is a paradox of American culture: a symbol of capitalist meritocracy, yet historically made possible by an activist government that few citizens recognize. This book examines the development of homeownership policy as part of this hidden welfare state and its transformation to include previously excluded groups over the twentieth century.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Автор: Sirkin R Название: Statistics for the Social Sciences ISBN: 141290546X ISBN-13(EAN): 9781412905466 Издательство: Sage Publications Рейтинг: Цена: 166850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Helps to build students` confidence and ability in doing statistical analysis by moving from concepts that require little computational work to those that require more. This book emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.
Автор: Zachary C. Steinert-Threkeld Название: Twitter as Data ISBN: 1108438334 ISBN-13(EAN): 9781108438339 Издательство: Cambridge Academ Рейтинг: Цена: 19010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Twitter presents an ideal combination of size, international reach, and data accessibility that make it a useful data source. Acquiring, cleaning, and analyzing these data, however, require new tools and processes. This Element introduces these methods and provides scripts and examples for downloading, processing, and analyzing Twitter data.
Автор: Sloan, Luke. Название: The Sage handbook of social media research methods / ISBN: 1473916321 ISBN-13(EAN): 9781473916326 Издательство: Sage Publications Рейтинг: Цена: 142560.00 T Наличие на складе: Поставка под заказ. Описание: The SAGE Handbook of Social Media Research Methods offers a step-by-step guide to overcoming the challenges inherent in research projects that deal with ‘big and broad data’, from the formulation of research questions through to the interpretation of findings. The handbook includes chapters on specific social media platforms such as Twitter, Sina Weibo and Instagram, as well as a series of critical chapters. The holistic approach is organised into the following sections: Conceptualising & Designing Social Media Research Collection & Storage Qualitative Approaches to Social Media Data Quantitative Approaches to Social Media Data Diverse Approaches to Social Media Data Analytical Tools Social Media Platforms This handbook is the single most comprehensive resource for any scholar or graduate student embarking on a social media project.
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