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Time series analysis and adjustment : measuring, modelling and forecasting for business and economics /

In Time Series Analysis and Adjustment the authors explain how the last four decades have brought dramatic changes in the way researchers analyze economic and financial data on behalf of economic and financial institutions and to provide statistics. An understanding of time series and the applicatio...

Пълно описание

Основни автори: Bleikh, Haim Y., (Author), Young, Warren, 1949- (Author)
Формат: Електронна книга
Език: English
Публикувано: Farnham : Ashgate, 2013.
Предмети:
Онлайн достъп: http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=531761
Подобни документи: Print version:: Time series analysis and adjustment
Съдържание:
  • Cover; Contents; List of Figures; List of Tables; List of Abbreviations; Introduction; 1 Literature Survey; 2 Forecasting; 2.1 Forecasting: Importance and Limitations; 2.2 Forecasting Models: A Brief Review; 3 Univariate Time Series Analysis; 3.1 ARIMA Model Building
  • The Box-Jenkins (BJ) Approach; 3.2 General Non-Seasonal BJ Model; 3.3 Extensions of the BJ Approach; 3.4 Seasonal Time Series and BJ Analysis; 3.5 BJ Seasonal Models; 3.6 General Multiplicative Model: An Example; 4 Further Topics in Time Series Analysis; 4.1 Non-Stationary Time Series: Introduction.
  • 4.2 Beveridge-Nelson (BN) Decomposition4.3 Nelson-Plosser (NP) Approach; 4.4 Hodrick-Prescott (HP) Filter; 4.5 Dynamic Systems: Introduction; 4.6 Granger Causality; 4.7 Cointegration and the Error Correction Model (ECM); 5 The Development of Seasonal Adjustment Programs; 5.1 Introduction; 5.2 A History of Seasonal Adjustment Programs; 5.3 X-11; 5.4 Seasonal Adjustment Issues; 5.5 X-11-ARIMA; 5.6 X-12-ARIMA (X-12); 5.7 TRAMO/SEATS; 6 Empirical Analysis; 6.1 Introduction; 6.2 Seasonal Adjustment Programs and Automatic Procedures
  • Examples; 6.3 Holidays Effects: An Example of Pre-Adjustment.
  • 6.4 Box-Jenkins Forecasting: An Example Using Quarterly Data6.5 Forecasting, Cointegration and Granger Causality: Possible Approaches and Case Studies; 6.6 Estimation Results for Differenced Form; 6.7 Estimation; 6.8 Annual Data Results; 6.9 Seasonal Adjustment Issues; 6.10 Empirical Examples and Case Studies: Conclusions; Conclusions; References; Appendix 1; Appendix 2; Appendix 3; Index.