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1. |
Record Nr. |
UNINA9910782253703321 |
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Titolo |
Global America? : the cultural consequences of globalization / / edited by Ulrich Beck, Nathan Sznaider and Rainer Winter [[electronic resource]] |
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Pubbl/distr/stampa |
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Liverpool : , : Liverpool University Press, , 2003 |
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ISBN |
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1-78138-666-8 |
1-84631-321-X |
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Descrizione fisica |
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1 online resource (xi, 275 pages) : digital, PDF file(s) |
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Collana |
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Studies in social and political thought |
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Disciplina |
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Soggetti |
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Globalization - Social aspects |
Americanization |
United States Foreign relations |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from publisher's bibliographic system (viewed on 11 Aug 2017). |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Title Page; Contents; List of Contributors; Acknowledgments; Introduction; Part I: Theoretical Perspectives; 1: Rooted Cosmopolitanism: Emerging from a Rivalry of Distinctions; 2: Assessing McDonaldization, Americanization and Globalization; 3: Culture, Modernity and Immediacy; Part II: National Case Studies; 4: Hyperpower Exceptionalism: Globalization the American Way; 5: Debating Americanization: The Case of France; 6: Consumption, Modernity and Japanese Cultural Identity: The Limits of Americanization? |
7: Americanization, Westernization, Sinification: Modernization or Globalization in China?Part III: Transitional Processes; 8: Techno-Migrants in the Network Economy; 9: The Americanization of Memory: The Case of the Holocaust; 10: From the Lisbon Disaster to Oprah Winfrey: Suffering as Identity in the Era of Globalization; 11: Global Media, Cultural Change and the Transformation of the Local: The Contribution of Cultural Studies to a Sociology of Hybrid Formations; 12: 'Rockization': Diversity within Similarity in World Popular Music; 13: The Internet: An Instrument of Americanization? |
Par IV: EpilogueAfterword: Rethinking Americanization; Index |
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Sommario/riassunto |
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Many contemporary issues cannot be readily or fully understood at the |
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level of the nation state and the concept of globalization is used to develop understanding through the analysis of global (transnational) processes. This volume explores the phenomenon of Americanization, and its worldwide impact, and the cultural consequences of globalization. |
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2. |
Record Nr. |
UNINA9910300148003321 |
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Autore |
Kroese Dirk P |
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Titolo |
Statistical Modeling and Computation / / by Dirk P. Kroese, Joshua C.C. Chan |
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Pubbl/distr/stampa |
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New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (XX, 400 p. 114 illus., 8 illus. in color.) : online resource |
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Disciplina |
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Soggetti |
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Mathematical statistics - Data processing |
Biometry |
Statistics |
Statistics and Computing |
Biostatistics |
Statistical Theory and Methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Probability Models -- Random Variables and Probability Distributions -- Joint Distributions -- Common Statistical Models -- Statistical Inference -- Likelihood -- Monte Carlo Sampling -- Bayesian Inference -- Generalized Linear Models -- Dependent Data Models -- State Space Models -- References -- Solutions -- MATLAB Primer -- Mathematical Supplement -- Index. |
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Sommario/riassunto |
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This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an |
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integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authors include a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement. |
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