Us/japan Conference on the Frontiers of Statistical Modeling an Informational Approach

Proceedings of the First U.s./ Japan Conference on the Frontiers of Statistical Modeling: an Informational Approach (Theory and Methodology of Time Series Analysis) Us/japan Conference on the Frontiers of Statistical Modeling an Informational Approach

Description for Sales People: Title is also available as part of a set: Proceedings of the First U. S./Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach (978-0-7923-2600-7) 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.