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[null,"1.","Record Nr.",null,"UNISA996213510403316"]
[null,null,"Titolo",null,"A course in time series analysis [[electronic resource] /] / edited by Daniel Peña, George C. Tiao, Ruey S. Tsay"]
[null,null,"Pubbl/distr/stampa",null,"New York, : J. Wiley, c2001"]
[null,null,"ISBN",null,"1-282-24252-0"]
[{"$nulls":4},"9786613813640"]
[{"$nulls":4},"1-118-03297-7"]
[{"$nulls":4},"1-118-03122-9"]
[null,null,"Descrizione fisica",null,"1 online resource (494 p.)"]
[null,null,"Collana",null,"Wiley series in probability and statistics"]
[null,null,"Disciplina",null,"519.5/5"]
[{"$nulls":4},"519.55"]
[null,null,"Soggetti",null,"Time-series analysis"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"pt. 1. Basic concepts in univariate time series -- pt. 2. Advanced topics in univariate time series -- pt. 3. Multivariate time series."]
[null,null,null,"Sommario/riassunto","New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic methods for building ARIMA m"]