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Applied Time Series Analysis for the Social Sciences : Specification, Estimation, and Inference



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Autore: Baker Regina M Visualizza persona
Titolo: Applied Time Series Analysis for the Social Sciences : Specification, Estimation, and Inference Visualizza cluster
Pubblicazione: Newark : , : John Wiley & Sons, Incorporated, , 2025
©2026
Edizione: 1st ed.
Descrizione fisica: 1 online resource (242 pages)
Disciplina: 519.5/5
Soggetto topico: Time-series analysis
Social sciences - Statistical methods
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Applied Time Series Analysis for the Social Sciences  Visualizza cluster
ISBN: 1-119-01047-0
1-119-01049-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911046558503321
Lo trovi qui: Univ. Federico II
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Serie: Wiley Series in Probability and Statistics Series