Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling

An Informational Approach : Volume 1 Theory and Methodology of Time Series Analysis

By: H. Bozdogan (Editor), S.L. Sclove, Arjun K. Gupta

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Hardcover | 31 December 1993

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304 Pages

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25.4 x 17.15 x 2.54

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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 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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Editor's General Preface
Preface
Hirotugu Akaike, Statistical Scientist
Experiences on the Development of Time Series Models (Keynote lecture)
State Space Modeling of Time Series
Autoregressive Model Fitting and Windows
System Analysis and Seasonal Adjustment through Model Fitting
Akaike's Approach can Yield Consistent Order Determination
Recursive Order Selection for an ARMA Process
Autoregressive Model Selection in Small Samples using a Bias-Corrected Version of AIC
Temporal Causality Measures based on AIC
An Automated Robust Method for Estimating Trend and Detecting Changes in Trend for Short Time Series
Model Selection in Harmonic Non-Linear Regression
Dynamic Analysis of Japan's Economic Structure
New Estimates of the Autocorrelation Coefficients of Stationary Sequences
Applications of TIMSAC

Editor's General Preface
Preface
Some Aspects of Model-Selection Criteria
Mixture-Model Cluster Analysis using Model Selection Criteria and a new Informational Measure of Complexity
Information and Entropy in Cluster Analysis
Information-Based Validity Functionals for Mixture Analysis
Unsupervised Classification with Stochastic Complexity
Modelling Principle Components with Structure
AIC-Replacements for Some Multivariate Tests of Homogeneity with Applications in Multisample Clustering and Variable Selection
High Dimensional Covariance Estimation: Avoiding `The Curse of Dimensionality'
Categorical Data Analysis by AIC
Longitudinal Data Models with Fixed and Random Effects
Multivariate Autoregressive Modeling for Analysis of Biomedical Systems with Feedback
A Simulation Study of Information Theoretic Techniques and Classical Hypothesis Tests in One Factor ANOVA

Editor's General Preface
Preface
Implications of Informational Point of View on the Development of Statistical Science (Keynote lecture)
From Comparison Density to Two Sample Analysis
Statistical Identification and Optimal Control of Thermal Power Plants
Applications of Autoregressive Model to Control Ship's Motions and Marine Engine
Statistical Models for Earthquake Occurrence: Clusters, Cycles and Characteristic Earthquakes
Seismological Applications of Statistical Methods for Point-Process Modelling
One Channel at-a-Time Multichannel Autoregressive Modeling of Stationary and Nonstationary Time Series
Separation of Spin Synchronized Signals using a Bayesian Approach
The Local Linearization Filter with Application to Nonlinear System Identifications
Inference of Evolutionary Trees from DNA and Protein Sequence Data
New Structure Criteria in Group Method of Data Handling
The Use of the Kullback--Leibler Distance for Learning in Neural Binary Classifiers
Index
Table of Contents provided by Publisher. All Rights Reserved.

Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling

An Informational Approach : Volume 1 Theory and Methodology of Time Series Analysis

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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