02508nam 22005173 450 991104655850332120251201110045.01-119-01047-01-119-01049-7(CKB)4330000000008011(MiAaPQ)EBC32394544(Au-PeEL)EBL32394544(OCoLC)1549523400(CaSebORM)9780470749937(OCoLC)1286069710(OCoLC-P)1286069710(EXLCZ)99433000000000801120251108d2025 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierApplied Time Series Analysis for the Social Sciences Specification, Estimation, and Inference1st ed.Newark :John Wiley & Sons, Incorporated,2025.©2026.1 online resource (242 pages)Wiley Series in Probability and Statistics Series0-470-74993-8 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.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.Wiley Series in Probability and Statistics SeriesTime-series analysisSocial sciencesStatistical methodsTime-series analysis.Social sciencesStatistical methods.519.5/5Baker Regina M1866239MiAaPQMiAaPQMiAaPQBOOK9911046558503321Applied Time Series Analysis for the Social Sciences4473601UNINA