Proceedings Of The First Us/japan Conference On The Frontiers Of Statistical Modeling: An Informational Approach: Volume 1 Theory And Methodology Of T by H. BozdoganProceedings Of The First Us/japan Conference On The Frontiers Of Statistical Modeling: An Informational Approach: Volume 1 Theory And Methodology Of T by H. Bozdogan

Proceedings Of The First Us/japan Conference On The Frontiers Of Statistical Modeling: An…

byH. BozdoganEditorS.L. Sclove, Arjun K. Gupta

Paperback | October 4, 2012

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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 1contains papers which deal with theTheory and Methodologyof Time Series Analysis. Volume 1 also contains the text of the Banquet talk by E. Parzen and the keynote lecture of H. Akaike.Volume 2is devoted to the general topic ofMultivariate StatisticalModeling, andVolume 3contains the papers relating toEngineeringand Scientific Applications.
For all scientists whose work involves statistics.
Title:Proceedings Of The First Us/japan Conference On The Frontiers Of Statistical Modeling: An…Format:PaperbackDimensions:282 pages, 24 × 16 × 0.17 inPublished:October 4, 2012Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9401043744

ISBN - 13:9789401043748

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Table of Contents

Volume 1 Editor's General Preface. Preface. 1. Hirotugu Akaike, Statistical Scientist; E. Parzen. 2. Experiences on the Development of Time Series Models (Keynote lecture); H. Akaike. 3. State Space Modeling of Time Series; G. Kitagawa. 4. Autoregressive Model Fitting and Windows; M.B. Priestley. 5. System Analysis and Seasonal Adjustment through Model Fitting; M. Ishiguro. 6. Akaike's Approach can Yield Consistent Order Determination; H. Tong. 7. Recursive Order Selection for an ARMA Process; R.J. Bhansali. 8. Autoregressive Model Selection in Small Samples using a Bias-Corrected Version of AIC; C.M. Hurvich, C.L. Tsai. 9. Temporal Causality Measures based on AIC; W. Polasek. 10. An Automated Robust Method for Estimating Trend and Detecting Changes in Trend for Short Time Series; T. Atilgan. 11. Model Selection in Harmonic Non-Linear Regression; D. Haughton, J. Haughton, A. Izenman. 12. Dynamic Analysis of Japan's Economic Structure; S. Naniwa. 13. New Estimates of the Autocorrelation Coefficients of Stationary Sequences; S. Batalama, D, Kazakos. 14. Applications of TIMSAC; Y. Tamura. Volume 2 Editor's General Preface. Preface. 1. Some Aspects of Model-Selection Criteria; S.L. Sclove. 2. Mixture-Model Cluster Analysis using Model Selection Criteria and a new Informational Measure of Complexity; H. Bozdogan. 3. Information and Entropy in Cluster Analysis; H.H. Bock. 4. Information-Based Validity Functionals for Mixture Analysis; A.C. Cutler, M.P. Windham. 5. Unsupervised Classification with Stochastic Complexity; J. Rissanen, E.S. Ristad. 6. Modelling Principle Components with Structure; B.D. Flury, B. Neuenschwander. 7. AIC-Replacements for Some Multivariate Tests of Homogeneity with Applications in Multisample Clustering and Variable Selection; H. Bozdogan, S.L. Sclove, A.K. Gupta. 8. High Dimensional Covariance Estimation: Avoiding `The Curse of Dimensionality'; R.M. Pruzek. 9. Categorical Data Analysis by AIC; Y. Sakamoto. 10. Longitudinal Data Models with Fixed and Random Effects; R.H. Jones. 11. Multivariate Autoregressive Modeling for Analysis of Biomedical Systems with Feedback; T. Wada, T. Koyama, M. Shigemori. 12. A Simulation Study of Information Theoretic Techniques and Classical Hypothesis Tests in One Factor ANOVA; E.P. Rosenblum. Volume 3 Editor's General Preface. Preface. 1. Implications of Informational Point of View on the Development of Statistical Science (Keynote lecture); H. Akaike. 2. From Comparison Density to Two Sample Analysis; E. Parzen. 3. Statistical Identification and Optimal Control of Thermal Power Plants; H. Nakamura. 4. Applications of Autoregressive Model to Control Ship's Motions and Marine Engine; K. Ohtsu, G. Kitagawa. 5. Statistical Models for Earthquake Occurrence: Clusters, Cycles and Characteristic Earthquakes; D. Vere-Jones. 6. Seismological Applications of Statistical Methods for Point-Process Modelling; Y. Ogata.