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The pioneering research of Hirotugu Akaike has an international reputation for profoundly affecting how data and time series are analyzed and modelled and is highly regarded by the statistical and technological communities of Japan and the world. His 1974 paper "A new look at the statistical model identification" is one of the most frequently cited papers in the area of engineering, technology, and applied sciences. It introduced the broad scientific community to model identification using the methods of Akaike's criterion AIC. The AIC method is cited and applied in almost every area of physical and social science. The best way to learn about the seminal ideas of pioneering researchers is to read their original papers. This book reprints 29 papers of Akaike's more than 140 papers. The slected papers are divided into six groups, represent successive phases of Akaike's research interests during his more than 40 years of work at the prestigious Institute of Statistical Mathematical in Tokyo.
List of contents
From the contents:
Foreword Interview with Hirotugu Akaike List of Publications of Hirotugu Akaike Papers 1. Precursors 1. On a zero-one process and some of its applications. 2. On a successive transformation of probability distribution and its application to the analysis of the optimum gradient method. 2. Frequency Domain Time Series Analysis 1. Effect of timing-error on the power spectrum of sampled- data. 2. On a limiting process which asymptotically produces f-2 spectral density. 3. On the statistical estimation of frequency response function.
Summary
The pioneering research of Hirotugu Akaike has an international reputation for profoundly affecting how data and time series are analyzed and modelled and is highly regarded by the statistical and technological communities of Japan and the world.
