Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach: Volume 1 Theory and Methodology of Time Series Analysis
S.L. Sclove Editat de H. Bozdogan Arjun K. Gupta, D. Haughton, G. Kitagawa, T. Ozaki, Kunio Tanabeen Limba Engleză Hardback – 31 dec 1993
Volume 1 contains papers which deal with the Theory and Methodology of Time Series Analysis. Volume 1 also contains the text of the Banquet talk by E. Parzen and the keynote lecture of H. Akaike. Volume 2 is devoted to the general topic of Multivariate Statistical Modeling, and Volume 3 contains the papers relating to Engineering and Scientific Applications.
For all scientists whose work involves statistics.
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Specificații
ISBN-13: 9780792325970
ISBN-10: 0792325974
Pagini: 282
Ilustrații: XV, 282 p.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.63 kg
Ediția:1994
Editura: SPRINGER NETHERLANDS
Colecția Springer
Locul publicării:Dordrecht, Netherlands
ISBN-10: 0792325974
Pagini: 282
Ilustrații: XV, 282 p.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.63 kg
Ediția:1994
Editura: SPRINGER NETHERLANDS
Colecția Springer
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
of Volume 1.- Summary of Contributed Papers to Volume 1.- 1. Hirotugu Akaike, Statistical Scientist.- 2. Experiences on the Development of Time Series Models (Keynote lecture).- 3. State Space Modeling of Time Series.- 4. Autoregressive Model Fitting and Windows.- 5. System Analysis and Seasonal Adjustment Through Model Fitting.- 6. Akaike’s Approach Can Yield Consistent Order Determination.- 7. Recursive Order Selection for an ARMA Process.- 8. Autoregressive Model Selection in Small Samples Using a Bias-Corrected Version of AIC.- 9. Temporal Causality Measures Based on AIC.- 10. An Automated Robust Method for Estimating Trend and Detecting Changes in Trend for Short Time Series.- 11. Model Selection in Harmonic Non-Linear Regression.- 12. Dynamic Analysis of Japan’s Economic Structure.- 13. New Estimates of the Autocorrelation Coefficients of Stationary Sequences.- 14. Applications of TIMSAC.- Index to Volume 1.