02119nam 22004331 450 991068797380332120201001130618.91-5297-4873-9(CKB)5410000000054159(OCoLC)1201327178(CaToSAGE)SAGE000010484(EXLCZ)99541000000005415920201001d2020 fy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierTime series analysis /by Mark Pickup ; edited by Paul Atkinson, Sara Delamont, Alexandru Cernat, Joseph W. Sakshaug & Richard A. WilliamsLondon :SAGE Publications Ltd.,2020.1 online resource illustrationsIncludes bibliographical references and index.Time series data are chronological sequences of observations produced by regularly and repeatedly measuring some characteristic or characteristics of the same case over time (e.g., aggregate support for the government in a country, the crime rate in a city). Time series analysis is the application of statistical models to time series data. This entry defines time series analysis and distinguishes time series data from other forms of data. It defines important time series notation and terminology. It provides a discussion of the challenges of time series analysis and of key time series fundamentals: autoregression, autocorrelation, serial correlation, stationarity, exogeneity, weak dependence, trending, seasonality, structural breaks, and stability.Political SciencePolitical Science.658.409223Pickup Mark(Associate professor),1351509Atkinson Paul1947-Delamont Sara1947-Cernat AlexandruSakshaug Joseph W.Williams Richard A.active 2020,CaToSAGECaToSAGEUtOrBLWBOOK9910687973803321Time series analysis3114673UNINA