Muutke küpsiste eelistusi

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 Softcover reprint of the original 1st ed. 1994 [Pehme köide]

Assisted by , Assisted by , Assisted by , Assisted by , Edited by , Assisted by , Assisted by
  • Formaat: Paperback / softback, 282 pages, kõrgus x laius: 240x160 mm, kaal: 489 g, XV, 282 p., 1 Paperback / softback
  • Ilmumisaeg: 04-Oct-2012
  • Kirjastus: Springer
  • ISBN-10: 9401043744
  • ISBN-13: 9789401043748
Teised raamatud teemal:
  • Pehme köide
  • Hind: 95,02 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 111,79 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 282 pages, kõrgus x laius: 240x160 mm, kaal: 489 g, XV, 282 p., 1 Paperback / softback
  • Ilmumisaeg: 04-Oct-2012
  • Kirjastus: Springer
  • ISBN-10: 9401043744
  • ISBN-13: 9789401043748
Teised raamatud teemal:
These three volumes comprise the proceedings of the US/Japan Conference, held in honour of Professor H. Akaike, on the `Frontiers of Statistical Modeling: an Informational Approach'. The major theme of the conference was the implementation of statistical modeling through an informational approach to complex, real-world problems.
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.

Muu info

Springer Book Archives
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. Akaikes 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 Japans Economic Structure.-
13. New
Estimates of the Autocorrelation Coefficients of Stationary Sequences.-
14.
Applications of TIMSAC.- Index to Volume 1.