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Time series data analysis using EViews [[electronic resource] /] / I Gusti Ngurah Agung



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Autore: Agung I Gusti Ngurah Visualizza persona
Titolo: Time series data analysis using EViews [[electronic resource] /] / I Gusti Ngurah Agung Visualizza cluster
Pubblicazione: Hoboken, NJ, : Wiley, c2009
Descrizione fisica: 1 online resource (634 p.)
Disciplina: 519.22
519.5/5
Soggetto topico: Time-series analysis
Econometric models
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: TIME SERIES DATA ANALYSIS USING EVIEWS; Contents; Preface; 1 EViews workfile and descriptive data analysis; 2 Continuous growth models; 3 Discontinuous growth models; 4 Seemingly causal models; 5 Special cases of regression models; 6 VAR and system estimation methods; 7 Instrumental variables models; 8 ARCH models; 9 Additional testing hypotheses; 10 Nonlinear least squares models; 11 Nonparametric estimation methods; Appendix A: Models for a single time series; Appendix B: Simple linear models; Appendix C: General linear models; Appendix D: Multivariate general linear models; References
Index
Sommario/riassunto: Do you want to recognize the most suitable models for analysis of statistical data sets? This book provides a hands-on practical guide to using the most suitable models for analysis of statistical data sets using EViews - an interactive Windows-based computer software program for sophisticated data analysis, regression, and forecasting - to define and test statistical hypotheses. Rich in examples and with an emphasis on how to develop acceptable statistical models, Time Series Data Analysis Using EViews is a perfect complement to theoretical books presenting statistical or economet
Titolo autorizzato: Time series data analysis using eviews  Visualizza cluster
ISBN: 1-118-17630-8
1-282-38217-9
9786612382178
0-470-82369-0
0-470-82368-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910830681103321
Lo trovi qui: Univ. Federico II
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