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E-raamat: Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach: Volume 3 Engineering and Scientific Applications

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  • Formaat: PDF+DRM
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Springer
  • Keel: eng
  • ISBN-13: 9789401108546
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Springer
  • Keel: eng
  • ISBN-13: 9789401108546
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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 3.- Summary of Contributed Papers to Volume 3.-
1.
Implications of Informational Point of View on the Development of Statistical
Science (Keynote lecture).-
2. From Comparison Density to Two Sample
Analysis.-
3. Statistical Identification and Optimal Control of Thermal Power
Plants.-
4. Applications of Auto Regressive Model to Control Ship Motions
and Marine Engine.-
5. Statistical Models for Earthquake Occurrence:
Clusters, Cycles and Characteristic Earthquakes.-
6. Seismological
Applications of Statistical Methods for Point-Process Modelling.-
7. One
Channel At-A-Time Multichannel Autoregressive Modeling of Stationary and
Nonstationary Time Series.-
8. Separation of Spin Synchronized Signals Using
a Bayesian Approach.-
9. The Local Linearization Filter With Application to
Nonlinear System Identifications.-
10. Inference of Evolutionary Trees From
DNA and Protein Sequence Data.-
11. New Structure Criteria in Group Method of
Data Handling.-
12. The Use of the Kullback-Leibler Distance for Learning in
Neural Binary Classifiers.-
13. Likelihood Estimation of Directional
Interaction.-
14. New Approach to Optimization of Stable Estimation.- Index
to Volume 3.