Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach

Volume 3 Engineering and Scientific Applications
Mitarbeit: Sclove, S.L.; Gupta, Arjun K.; Haughton, D.; Kitagawa, G.; Ozaki, T.; Herausgegeben von Bozdogan, H.

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer / Springer Netherlands
• Artikelnr. des Verlages: 978-94-010-4368-7
• Seitenzahl: 368
• Erscheinungstermin: 12. Oktober 2012
• Englisch
• Abmessung: 240mm x 160mm x 20mm
• Gewicht: 588g
• ISBN-13: 9789401043687
• ISBN-10: 940104368X
• Artikelnr.: 37479616

Inhaltsangabe

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.