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1. |
Record Nr. |
UNINA9910967981203321 |
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Titolo |
The Daily Show and rhetoric : arguments, issues, and strategies / / edited by Trischa Goodnow |
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Pubbl/distr/stampa |
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Lanham, : Lexington Books, 2011 |
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ISBN |
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979-82-16-30340-4 |
1-283-08468-6 |
9786613084682 |
0-7391-5004-9 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (275 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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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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Description based upon print version of record. |
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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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Contents; Acknowledgments; Introduction: The Daily Show and Rhetoric-Arguments, Issues, and Strategies; I: The Nature of the Beast; II: Arguments; III: Strategies; IV: Issues; Index; About the Contributors |
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Sommario/riassunto |
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The Daily Show and Rhetoric approaches the popular program from a scholarly, rhetorical perspective to uncover the rhetorical nature of the show. Using a variety of rhetorical methods, the book, taken as a whole, concludes that The Daily Show is more that just a show designed to make the audience laugh; it's designed to make the audience think. |
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2. |
Record Nr. |
UNINA9911046558503321 |
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Autore |
Baker Regina M |
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Titolo |
Applied Time Series Analysis for the Social Sciences : Specification, Estimation, and Inference |
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Pubbl/distr/stampa |
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Newark : , : John Wiley & Sons, Incorporated, , 2025 |
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©2026 |
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ISBN |
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1-119-01047-0 |
1-119-01049-7 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (242 pages) |
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Collana |
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Wiley Series in Probability and Statistics Series |
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Disciplina |
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Soggetti |
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Time-series analysis |
Social sciences - Statistical 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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Nota di contenuto |
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Foundations -- Properties of time series : mean and variance stationarity -- Properties of time series : autocorrelation, the autocorrelation function and the partial autocorrelation function -- Examining time series properties : univariate ARIMA estimation and forecasting -- ARIMA intervention models -- ARIMA with non-binary explanatory variables -- OLS and the Gauss-Markov assumptions -- Autoregressive distributed lag models -- Cointegration and error correction -- General-to-specific modeling and the LSE school approach -- Vector autoregression : fundamental concepts -- Vector autoregression : details. |
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Sommario/riassunto |
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EXPLORE THIS INDISPENSABLE AND COMPREHENSIVE GUIDE TO TIME SERIES ANALYSIS FOR STUDENTS AND PRACTITIONERS IN A WIDE VARIETY OF DISCIPLINES Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference delivers an accessible guide to time series analysis that includes both theory and practice. |
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