Research applied statistical science (47 résultats)
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Buch. Etat : Neu. Neuware - Society is changing it is becoming more diverse and digital. Social media today plays a central role in human communication. With a changing society, the way social scientists analyze it is also evolving. In recent years, it has become significantly more difficult to encourage people to participate in… surveys. Furthermore, digitization opens up data options that go beyond the survey method. Information published online represents valuable digital behavioral traces and provides social researchers with another important source of data alongside their scientific surveys, which in recent years have increasingly been conducted online.Computational methods have played a central role in social research from the very beginning. This applies today more than ever to data analysis, but now also to data collection. The increasing attention paid to machine learning methods in the statistical analysis of social science data represents a further remarkable development in the analysis of social science data.This textbook addresses these developments and familiarizes readers with both elementary and more advanced methods of data analysis. Fundamentals and techniques of data management, programming with R, statistical data analysis, descriptive and causal inference, as well as predictive modeling are covered in depth. All methods are exemplified using real data either from survey research, the social media platform Bluesky or a large digital newspaper archive. Thematically, these data are focused on current sociological topics, particularly those related to human happiness, energy transition and climate policy, AI, political attitudes and the rise in right-wing voting.Data science encompasses more than the algorithms required for data analysis and statistical learning. No less relevant are the rules by which social research and data analysis are conducted, data quality is ensured, and the results are validated. This textbook aims to provide this overview.
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Buch. Etat : Neu. Data Science in Social Research | An Applied Guide to Statistical and Computational Methods with R | Uwe Engel (u. a.) | Buch | XI | Englisch | 2026 | Walter de Gruyter | EAN 9783110680676 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafet…y[at]degruyterbrill[dot]com | Anbieter: preigu.
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 467 | Sprache: Englisch | Produktart: Bücher | The emergent field of CSS is growing in scientific importance and public interest. There is no doubt that the field of social science needs to keep up with a rapidly changing society; the ubiquity of digital media in all aspects of life,…work, play, and leisure is requiring new perspectives and theories. Driving forces include technological advancements in computer systems, the rise of machine learning, and the ubiq-uity of artificial intelligence. Digital media are being adopted on a large scale globally, leading to the creation and collection of vast amounts of structured and unstructured data. This holds the promise of a new type of open science, where data in the social sciences is a public good instead of serving commercial interests. These developments affect both the objects of social-science research as well as its methods. We are witnessing a paradigm shift from traditional survey research to large-scale computational methods, not least because of the mere availability of large amount of digital trace data. This shift has concrete implications such as usage of disparate kinds of data (e.g., unstructured data), application of new types of methods (e.g., machine learning), exposition to a wide range of threats to data quality and valida-tion, and finally different inferential paradigms. The goal of this textbook is to respond to this paradigm shift with an exposition of computational methods required to conduct social research in the digital age. Five basic points characterize the in-tended scope and focus of the textbook: Selection of methods, Data quality, Statistical learning & validation, Artificial intelligence and Balance of statistical foundations and programming.
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Etat : New. Editor(s): Ahsanullah, Mohammad. Num Pages: 231 pages. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 267 x 189 x 22. Weight in Grams: 686. . 2014. Hardcover. . . . .
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Etat : New. Editor(s): Ahsanullah, Mohammad. Num Pages: 231 pages. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 267 x 189 x 22. Weight in Grams: 686. . 2014. Hardcover. . . . . Books ship from the US and Ireland.
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Etat : New. KlappentextrnrnThis book makes a significant contribution to the advancement of statistical science. It contains research in many statistical designs, compares many statistical models, and includes theories that are oriented to real life problem.
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EUR 261,65
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Buch. Etat : Neu. Neuware - This book makes a significant contribution to the advancement of statistical science. It contains research in many statistical designs, compares many statistical models, and includes theories that are oriented to real life problems.
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This second of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 22 25, 2026. The meeti…ng brought together the 53rd Scientific Meeting of the Italian Statistical Society (SIS 2026) and the 1st Scientific Meeting of the European Statistical Societies (FENStatS 2026) promoted by the Federation of European National Statistical Societies. This volume features the first part of the contributions presented in the Contributed Sessions.The contributions present modern methodological developments and innovative applications in a wide variety of fields and address current challenges in statistical science. The topics covered include, but are not limited to, high-dimensional and multivariate statistics, functional data analysis and complex data structures, Bayesian statistics, time series analysis, dependence and extreme values, statistical learning, machine learning and AI, network science, analysis of directional and compositional data, spatial, spatio-temporal and environmental statistics, biostatistics and the analysis of medical data, social statistics, demography, economic statistics, as well as survey statistics, official statistics and public policy. Given this variety, the book also demonstrates the importance of statistical science and the responsible use of quantitative methods in addressing societal and environmental challenges related to sustainable development.The Joint Meeting SIS-FENStatS 2026 was the first event of its kind ever organized at the European level. It provided an important forum for dialogue, exchange and collaboration among national and international contributors from academia, national and international institutions, and industry, working across statistics, demography, and applied statistical fields.
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Hardcover. Etat : Brand New. 619 pages. 6.14x1.31x9.21 inches. In Stock.
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Hardcover. Etat : Brand New. 631 pages. 6.14x1.38x9.21 inches. In Stock.
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Etat : Used: Like New. LIVRE A L?ETAT DE NEUF. EXPEDIE SOUS 3 JOURS OUVRES. NUMERO DE SUIVI COMMUNIQUE AVANT ENVOI, EMBALLAGE RENFORCE. EAN:9781633218185.
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Hardcover. Etat : new. Hardcover. This last of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 2225, 2026. The meeting brought together the 53rd Scientific…Meeting of the Italian Statistical Society (SIS 2026) and the 1st Scientific Meeting of the European Statistical Societies (FENStatS 2026) promoted by the Federation of European National Statistical Societies. This volume features the last part of the contributions presented in the Contributed Sessions.The contributions present modern methodological developments and innovative applications in a wide variety of fields and address current challenges in statistical science. The topics covered include, but are not limited to, high-dimensional and multivariate statistics, functional data analysis and complex data structures, Bayesian statistics, time series analysis, dependence and extreme values, statistical learning, machine learning and AI, network science, analysis of directional and compositional data, spatial, spatio-temporal and environmental statistics, biostatistics and the analysis of medical data, social statistics, demography, economic statistics, as well as survey statistics, official statistics and public policy. Given this variety, the book also demonstrates the importance of statistical science and the responsible use of quantitative methods in addressing societal and environmental challenges related to sustainable development.The Joint Meeting SIS-FENStatS 2026 was the first event of its kind ever organized at the European level. It provided an important forum for dialogue, exchange and collaboration among national and international contributors from academia, national and international institutions, and industry, working across statistics, demography, and applied statistical fields. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Etat : new. Hardcover. This third of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 2225, 2026. The meeting brought together the 53rd Scientific… Meeting of the Italian Statistical Society (SIS 2026) and the 1st Scientific Meeting of the European Statistical Societies (FENStatS 2026) promoted by the Federation of European National Statistical Societies. This volume features the second part of the contributions presented in the Contributed Sessions.The contributions present modern methodological developments and innovative applications in a wide variety of fields and address current challenges in statistical science. The topics covered include, but are not limited to, high-dimensional and multivariate statistics, functional data analysis and complex data structures, Bayesian statistics, time series analysis, dependence and extreme values, statistical learning, machine learning and AI, network science, analysis of directional and compositional data, spatial, spatio-temporal and environmental statistics, biostatistics and the analysis of medical data, social statistics, demography, economic statistics, as well as survey statistics, official statistics and public policy. Given this variety, the book also demonstrates the importance of statistical science and the responsible use of quantitative methods in addressing societal and environmental challenges related to sustainable development.The Joint Meeting SIS-FENStatS 2026 was the first event of its kind ever organized at the European level. It provided an important forum for dialogue, exchange and collaboration among national and international contributors from academia, national and international institutions, and industry, working across statistics, demography, and applied statistical fields. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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EUR 261,64
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Hardcover. Etat : new. Hardcover. This second of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 2225, 2026. The meeting brought together the 53rd Scientifi…c Meeting of the Italian Statistical Society (SIS 2026) and the 1st Scientific Meeting of the European Statistical Societies (FENStatS 2026) promoted by the Federation of European National Statistical Societies. This volume features the first part of the contributions presented in the Contributed Sessions.The contributions present modern methodological developments and innovative applications in a wide variety of fields and address current challenges in statistical science. The topics covered include, but are not limited to, high-dimensional and multivariate statistics, functional data analysis and complex data structures, Bayesian statistics, time series analysis, dependence and extreme values, statistical learning, machine learning and AI, network science, analysis of directional and compositional data, spatial, spatio-temporal and environmental statistics, biostatistics and the analysis of medical data, social statistics, demography, economic statistics, as well as survey statistics, official statistics and public policy. Given this variety, the book also demonstrates the importance of statistical science and the responsible use of quantitative methods in addressing societal and environmental challenges related to sustainable development.The Joint Meeting SIS-FENStatS 2026 was the first event of its kind ever organized at the European level. It provided an important forum for dialogue, exchange and collaboration among national and international contributors from academia, national and international institutions, and industry, working across statistics, demography, and applied statistical fields. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
