Overview

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.

Full Product Details

Author:   S.L. Sclove ,  H. Bozdogan ,  Arjun K. Gupta ,  D. Haughton
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of the original 1st ed. 1994
Dimensions:   Width: 16.00cm , Height: 1.90cm , Length: 24.00cm
Weight:   0.588kg
ISBN:  

9789401043687

ISBN 10:   940104368
Pages:   349
Publication Date:   12 October 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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