Proceedings Of The First Us Japan Conference On The Frontiers Of Statistical Modeling An Informational Approach

Author : H. Bozdogan
Publisher : Springer Science & Business Media
Page : 304 pages
File Size : 49,6 Mb
Release : 1993-12-31
Category : Mathematics
ISBN : 0792325974

Get Book

Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach by H. Bozdogan Pdf

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.

Author : H. Bozdogan
Publisher : Springer Science & Business Media
Page : 421 pages
File Size : 55,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789401108003

Get Book

Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach by H. Bozdogan Pdf

Often a statistical analysis involves use of a set of alternative models for the data. A "model-selection criterion" is a formula which provides a figure-of merit for the alternative models. Generally the alternative models will involve different numhers of parameters. Model-selection criteria take into account hoth the goodness-or-fit of a model and the numher of parameters used to achieve that fit. 1.1. SETS OF ALTERNATIVE MODELS Thus the focus in this paper is on data-analytic situations ill which there is consideration of a set of alternative models. Choice of a suhset of explanatory variahles in regression, the degree of a polynomial regression, the number of factors in factor analysis, or the numher of dusters in duster analysis are examples of such situations. 1.2. MODEL SELECTION VERSUS HYPOTHESIS TESTING In exploratory data analysis or in a preliminary phase of inference an approach hased on model-selection criteria can offer advantages over tests of hypotheses. The model-selection approach avoids the prohlem of specifying error rates for the tests. With model selection the focus can he on simultaneous competition between a hroad dass of competing models rather than on consideration of a sequence of simpler and simpler models.

Author : H. Bozdogan
Publisher : Springer Science & Business Media
Page : 286 pages
File Size : 55,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789401108669

Get Book

Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach by H. Bozdogan Pdf

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.

Author : H. Bozdogan
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 45,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789401108546

Get Book

Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach by H. Bozdogan Pdf

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.

Author : H. Bozdogan
Publisher : Springer
Page : 376 pages
File Size : 48,7 Mb
Release : 1993-12-31
Category : Mathematics
ISBN : UOM:39015025369839

Get Book

Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach by H. Bozdogan Pdf

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.

Author : H. Bozdogan,S.L. Sclove
Publisher : Springer
Page : 440 pages
File Size : 48,7 Mb
Release : 1993-12-31
Category : Mathematics
ISBN : UOM:39015025369904

Get Book

Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach by H. Bozdogan,S.L. Sclove Pdf

Often a statistical analysis involves use of a set of alternative models for the data. A "model-selection criterion" is a formula which provides a figure-of merit for the alternative models. Generally the alternative models will involve different numhers of parameters. Model-selection criteria take into account hoth the goodness-or-fit of a model and the numher of parameters used to achieve that fit. 1.1. SETS OF ALTERNATIVE MODELS Thus the focus in this paper is on data-analytic situations ill which there is consideration of a set of alternative models. Choice of a suhset of explanatory variahles in regression, the degree of a polynomial regression, the number of factors in factor analysis, or the numher of dusters in duster analysis are examples of such situations. 1.2. MODEL SELECTION VERSUS HYPOTHESIS TESTING In exploratory data analysis or in a preliminary phase of inference an approach hased on model-selection criteria can offer advantages over tests of hypotheses. The model-selection approach avoids the prohlem of specifying error rates for the tests. With model selection the focus can he on simultaneous competition between a hroad dass of competing models rather than on consideration of a sequence of simpler and simpler models.

Author : H. Bozdogan
Publisher : Springer
Page : 128 pages
File Size : 40,7 Mb
Release : 1994-01-31
Category : Mathematics
ISBN : 0792326008

Get Book

Proceedings of the First U.S./Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach by H. Bozdogan Pdf

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.

Author : Hamparsum Bozdogan
Publisher : Unknown
Page : 128 pages
File Size : 55,7 Mb
Release : 1994
Category : Mathematical statistics
ISBN : LCCN:93043469

Get Book

Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: an Informational Approach: Engineering and scientific applications by Hamparsum Bozdogan Pdf

Author : Hamparsum Bozdogan
Publisher : CRC Press
Page : 624 pages
File Size : 41,5 Mb
Release : 2003-07-29
Category : Business & Economics
ISBN : 9780203497159

Get Book

Statistical Data Mining and Knowledge Discovery by Hamparsum Bozdogan Pdf

Massive data sets pose a great challenge to many cross-disciplinary fields, including statistics. The high dimensionality and different data types and structures have now outstripped the capabilities of traditional statistical, graphical, and data visualization tools. Extracting useful information from such large data sets calls for novel approache

Author : Emanuel Parzen,Kunio Tanabe,Genshiro Kitagawa
Publisher : Springer Science & Business Media
Page : 432 pages
File Size : 41,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461216940

Get Book

Selected Papers of Hirotugu Akaike by Emanuel Parzen,Kunio Tanabe,Genshiro Kitagawa Pdf

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.

Author : Sadanori Konishi,Genshiro Kitagawa
Publisher : Springer Science & Business Media
Page : 282 pages
File Size : 49,7 Mb
Release : 2008
Category : Business & Economics
ISBN : 9780387718866

Get Book

Information Criteria and Statistical Modeling by Sadanori Konishi,Genshiro Kitagawa Pdf

Statistical modeling is a critical tool in scientific research. This book provides comprehensive explanations of the concepts and philosophy of statistical modeling, together with a wide range of practical and numerical examples. The authors expect this work to be of great value not just to statisticians but also to researchers and practitioners in various fields of research such as information science, computer science, engineering, bioinformatics, economics, marketing and environmental science. It’s a crucial area of study, as statistical models are used to understand phenomena with uncertainty and to determine the structure of complex systems. They’re also used to control such systems, as well as to make reliable predictions in various natural and social science fields.

Author : Jiming Liu,Yiuming Cheung,Hujun Yin
Publisher : Springer
Page : 1146 pages
File Size : 49,5 Mb
Release : 2003-09-09
Category : Computers
ISBN : 9783540450801

Get Book

Intelligent Data Engineering and Automated Learning by Jiming Liu,Yiuming Cheung,Hujun Yin Pdf

This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.

Author : Andriëtte Bekker,(Din) Ding-Geng Chen,Johannes T. Ferreira
Publisher : Springer Nature
Page : 543 pages
File Size : 45,7 Mb
Release : 2020-08-10
Category : Medical
ISBN : 9783030421960

Get Book

Computational and Methodological Statistics and Biostatistics by Andriëtte Bekker,(Din) Ding-Geng Chen,Johannes T. Ferreira Pdf

In the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computational advancement, which has presented end users as well as researchers with the necessary opportunities to handle data and implement modelling solutions for statistical purposes. Showcasing the interplay among a variety of disciplines, this book offers pioneering theoretical and applied solutions to practice-oriented problems. As a carefully curated collection of prominent international thought leaders, it fosters collaboration between statisticians and biostatisticians and provides an array of thought processes and tools to its readers. The book thereby creates an understanding and appreciation of recent developments as well as an implementation of these contributions within the broader framework of both academia and industry. Computational and Methodological Statistics and Biostatistics is composed of three main themes: • Recent developments in theory and applications of statistical distributions;• Recent developments in supervised and unsupervised modelling;• Recent developments in biostatistics; and also features programming code and accompanying algorithms to enable readers to replicate and implement methodologies. Therefore, this monograph provides a concise point of reference for a variety of current trends and topics within the statistical domain. With interdisciplinary appeal, it will be useful to researchers, graduate students, and practitioners in statistics, biostatistics, clinical methodology, geology, data science, and actuarial science, amongst others.

Author : David Banks,Leanna House,Frederick R. McMorris,Phipps Arabie,Wolfgang A. Gaul
Publisher : Springer Science & Business Media
Page : 642 pages
File Size : 49,8 Mb
Release : 2011-01-07
Category : Language Arts & Disciplines
ISBN : 9783642171031

Get Book

Classification, Clustering, and Data Mining Applications by David Banks,Leanna House,Frederick R. McMorris,Phipps Arabie,Wolfgang A. Gaul Pdf

This volume describes new methods with special emphasis on classification and cluster analysis. These methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.

Author : Kenneth P. Burnham,David R. Anderson
Publisher : Springer Science & Business Media
Page : 488 pages
File Size : 48,9 Mb
Release : 2007-05-28
Category : Mathematics
ISBN : 9780387224565

Get Book

Model Selection and Multimodel Inference by Kenneth P. Burnham,David R. Anderson Pdf

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.