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Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach: Volume 3 Engineering and Scientific Applications de S.L. Sclove

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

S.L. Sclove Editat de H. Bozdogan Arjun K. Gupta, D. Haughton, G. Kitagawa, T. Ozaki, Kunio Tanabe
en Limba Engleză Paperback – 12 oct 2012
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.
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Specificații

ISBN-13: 9789401043687
ISBN-10: 940104368X
Pagini: 368
Ilustrații: XIII, 349 p.
Dimensiuni: 160 x 240 x 19 mm
Greutate: 0.51 kg
Ediția:Softcover reprint of the original 1st ed. 1994
Editura: SPRINGER NETHERLANDS
Colecția Springer
Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

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.