Selected Papers of Hirotugu Akaike
(Sprache: Englisch)
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...
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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" (IEEE Trans Automatic Control, AC-19, 716-723) is one of the most frequently cited papers in the area of engineering, technology, and applied sciences (according to a 1981 Citation Classic of the Institute of Scientific Information). 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. This book of papers by Akaike is a tribute to his outstanding career and a service to provide students and researchers with access to Akaike's innovative and influential ideas and applications. To provide a commentary on the career of Akaike, the motivations of his ideas, and his many remarkable honors and prizes, this book reprints "A Conversation with Hirotugu Akaike" by David F. Findley and Emanuel Parzen, published in 1995 in the journal Statistical Science. This survey of Akaike's career provides each of us with a role model for how to have an impact on society by stimulating applied researchers to implement new statistical methods.
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.
Inhaltsverzeichnis zu „Selected Papers of Hirotugu Akaike “
Foreword Interview with Hirotugu Akaike List of Publications of Hirotugu Akaike Papers1. 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
Autoren-Porträt
Hirotugu Akaike is very well-known in the areas of statistics and engineering for his work in time series. He is best-known for the Akaike Information Criterion (AIC), a method for solving practical problems involved in fitting statistical models to data.
Bibliographische Angaben
- 2012, Softcover reprint of the original 1st ed. 1998, VIII, 434 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Emanuel Parzen, Kunio Tanabe, Genshiro Kitagawa
- Verlag: Springer, Berlin
- ISBN-10: 1461272483
- ISBN-13: 9781461272489
Sprache:
Englisch
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