Analysis and Modeling of Complex Data in Behavioral and Social Sciences, Donatella Vicari; Akinori Okada; Giancarlo Ragozin
Автор: Collins Linda M., Lanza Stephanie T. Название: Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences ISBN: 0470228393 ISBN-13(EAN): 9780470228395 Издательство: Wiley Рейтинг: Цена: 116110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Focuses on latent class analysis (LCA) and latent transition analysis (LTA) with a comprehensive treatment of longitudinal latent class models. This book includes examples that enable the reader to acquire a conceptual and technical understanding and to apply techniques to address empirical research questions.
Автор: Michael Smithson Название: Fuzzy Set Analysis for Behavioral and Social Sciences ISBN: 0387964312 ISBN-13(EAN): 9780387964317 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: G. Arminger; Clifford C. Clogg; M.E. Sobel Название: Handbook of Statistical Modeling for the Social and Behavioral Sciences ISBN: 1489912940 ISBN-13(EAN): 9781489912947 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied.
Автор: Bevington; Robinson Название: Data Reduction And Error Analysis For The Physical Sciences ISBN: 0071199268 ISBN-13(EAN): 9780071199261 Издательство: McGraw-Hill Рейтинг: Цена: 49180.00 T Наличие на складе: Поставка под заказ. Описание: Provides an introduction to the concepts of statistical analysis of data for students at undergraduate and graduate level. This text also provides tools for data reduction and error analysis commonly required in the physical sciences. It features a variety of numerical and graphical techniques, and emphasizes methods of handling data than theory.
Автор: Box-Steffensmeier Название: Time Series Analysis for the Social Sciences ISBN: 0521691559 ISBN-13(EAN): 9780521691550 Издательство: Cambridge Academ Рейтинг: Цена: 30610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. The book covers ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting.
Автор: Darmofal Название: Spatial Analysis for the Social Sciences ISBN: 0521716381 ISBN-13(EAN): 9780521716383 Издательство: Cambridge Academ Рейтинг: Цена: 30610.00 T Наличие на складе: Поставка под заказ. Описание: Spatial Analysis for the Social Sciences is for researchers across the social sciences who want to model and explain spatial interactions between the actors they study. The book is very user-friendly and demonstrates a variety of analytical approaches that applied researchers can use in their work.
Автор: J. Cohen Название: Statistical power analysis for the behavioral sciences ISBN: 0805802835 ISBN-13(EAN): 9780805802832 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This non-technical guide to power analysis in research planning in the behavioural sciences, provides users of applied statistics with the tools needed for more effective analysis. This edition includes a new chapter covering power analysis in set correlations and multivariate methods.
Автор: Wiedemann Название: Text Mining for Qualitative Data Analysis in the Social Sciences ISBN: 3658153083 ISBN-13(EAN): 9783658153083 Издательство: Springer Рейтинг: Цена: 43530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of “democratic demarcation” in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing.
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