Author:
Publisher:
ISBN:
Category : Census
Languages : en
Pages : 728
Book Description
Proceedings
Selected Papers of Hirotugu Akaike
Author: Emanuel Parzen
Publisher: Springer Science & Business Media
ISBN: 146121694X
Category : Mathematics
Languages : en
Pages : 432
Book Description
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.
Publisher: Springer Science & Business Media
ISBN: 146121694X
Category : Mathematics
Languages : en
Pages : 432
Book Description
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.
Long Range Dependence
Author: Gennady Samorodnitsky
Publisher: Now Publishers Inc
ISBN: 1601980906
Category : Mathematics
Languages : en
Pages : 109
Book Description
Long Range Dependence is a wide ranging survey of the ideas, models and techniques associated with the notion of long memory. It will serve as an invaluable reference source for researchers studying long range dependence, for those building long memory models, and for people who are trying to detect the possible presence of long memory in data.
Publisher: Now Publishers Inc
ISBN: 1601980906
Category : Mathematics
Languages : en
Pages : 109
Book Description
Long Range Dependence is a wide ranging survey of the ideas, models and techniques associated with the notion of long memory. It will serve as an invaluable reference source for researchers studying long range dependence, for those building long memory models, and for people who are trying to detect the possible presence of long memory in data.
Proceedings of the First International Conference on Teaching Statistics, University of Sheffield, 9-13 August 1982
Author: D. R. Grey
Publisher:
ISBN:
Category : Educational statistics
Languages : en
Pages : 430
Book Description
The second volume of these conference proceedings includes 35 papers presented under seven topic headings. The topic headings are: (1) education and training in statistics in developing countries; (2) co-operation between academic and practicing statisticians; (3) teaching survey sampling; (4) teaching design and analysis of experiments; (5) training industrial practitioners; (6) principles of learning probability and statistics (including papers examining children's choice behavior in probabilistic situations, a survey of probability concepts in 3000 students aged 11-16 years, teaching probability and statistics so as to overcome some misconceptions, and the role of explanation in teaching elementary probability); and (7) the teaching of agricultural statistics (which includes a single paper on training of personnel for agricultural statistics in Jordan). Like the papers in the first volume, these papers provide a summary of the situation in statistical education around the world and point the way to future developments. (JN)
Publisher:
ISBN:
Category : Educational statistics
Languages : en
Pages : 430
Book Description
The second volume of these conference proceedings includes 35 papers presented under seven topic headings. The topic headings are: (1) education and training in statistics in developing countries; (2) co-operation between academic and practicing statisticians; (3) teaching survey sampling; (4) teaching design and analysis of experiments; (5) training industrial practitioners; (6) principles of learning probability and statistics (including papers examining children's choice behavior in probabilistic situations, a survey of probability concepts in 3000 students aged 11-16 years, teaching probability and statistics so as to overcome some misconceptions, and the role of explanation in teaching elementary probability); and (7) the teaching of agricultural statistics (which includes a single paper on training of personnel for agricultural statistics in Jordan). Like the papers in the first volume, these papers provide a summary of the situation in statistical education around the world and point the way to future developments. (JN)
A Practical Guide to Heavy Tails
Author: Robert Adler
Publisher: Springer Science & Business Media
ISBN: 9780817639518
Category : Mathematics
Languages : en
Pages : 560
Book Description
Twenty-four contributions, intended for a wide audience from various disciplines, cover a variety of applications of heavy-tailed modeling involving telecommunications, the Web, insurance, and finance. Along with discussion of specific applications are several papers devoted to time series analysis, regression, classical signal/noise detection problems, and the general structure of stable processes, viewed from a modeling standpoint. Emphasis is placed on developments in handling the numerical problems associated with stable distribution (a main technical difficulty until recently). No index. Annotation copyrighted by Book News, Inc., Portland, OR
Publisher: Springer Science & Business Media
ISBN: 9780817639518
Category : Mathematics
Languages : en
Pages : 560
Book Description
Twenty-four contributions, intended for a wide audience from various disciplines, cover a variety of applications of heavy-tailed modeling involving telecommunications, the Web, insurance, and finance. Along with discussion of specific applications are several papers devoted to time series analysis, regression, classical signal/noise detection problems, and the general structure of stable processes, viewed from a modeling standpoint. Emphasis is placed on developments in handling the numerical problems associated with stable distribution (a main technical difficulty until recently). No index. Annotation copyrighted by Book News, Inc., Portland, OR
Bulletin de L'Institut International de Statistique
Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 716
Book Description
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 716
Book Description
Probability Theory and Applications
Author:
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112314220
Category : Mathematics
Languages : en
Pages : 820
Book Description
No detailed description available for "Probability Theory and Applications".
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112314220
Category : Mathematics
Languages : en
Pages : 820
Book Description
No detailed description available for "Probability Theory and Applications".
Statistical Distributions in Scientific Work
Author: Charles Taillie
Publisher: Springer Science & Business Media
ISBN: 9400985495
Category : Mathematics
Languages : en
Pages : 458
Book Description
Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980
Publisher: Springer Science & Business Media
ISBN: 9400985495
Category : Mathematics
Languages : en
Pages : 458
Book Description
Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980
Statistics Subject Indexes from Mathematical Reviews
Author: American Mathematical Society
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 540
Book Description
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 540
Book Description
Current Topics in Survey Sampling
Author: D. Krewski
Publisher: Elsevier
ISBN: 1483264653
Category : Reference
Languages : en
Pages : 526
Book Description
Current Topics in Survey Sampling contains all the invited papers as well as abstracts of the contributed papers presented at the International Symposium on Survey Sampling held at Carleton University in Ottawa, 7-9 May 1980. The topics covered here include nonsampling errors, current survey research activity, superpopulation models, variance estimation, and imputation techniques. The symposium was also dedicated to the memory of Professor William G. Cochran. The volume is organized into six parts. Part I includes papers by Cochran's close colleagues. Part II contains three papers on nonsampling errors. These cover the creation of a unified discipline of survey research to serve as the basis for total survey design; a ""swapping algorithm"" for interviewer assignment to minimize the effect of nonsampling errors; and the question of whether census counts should be adjusted for underenumeration when determining federal transfer payments to the provinces. Part III describes research activities at four major survey organizations in North America: Research Triangle Institute, Statistics Canada, Survey Research Center of the University of Michigan, and U. S. Bureau of the Census. Part IV discusses the use of superpopulation models in survey design and inference. Part V tackles a number of different problems in variance estimation while Part VI deals with imputation techniques.
Publisher: Elsevier
ISBN: 1483264653
Category : Reference
Languages : en
Pages : 526
Book Description
Current Topics in Survey Sampling contains all the invited papers as well as abstracts of the contributed papers presented at the International Symposium on Survey Sampling held at Carleton University in Ottawa, 7-9 May 1980. The topics covered here include nonsampling errors, current survey research activity, superpopulation models, variance estimation, and imputation techniques. The symposium was also dedicated to the memory of Professor William G. Cochran. The volume is organized into six parts. Part I includes papers by Cochran's close colleagues. Part II contains three papers on nonsampling errors. These cover the creation of a unified discipline of survey research to serve as the basis for total survey design; a ""swapping algorithm"" for interviewer assignment to minimize the effect of nonsampling errors; and the question of whether census counts should be adjusted for underenumeration when determining federal transfer payments to the provinces. Part III describes research activities at four major survey organizations in North America: Research Triangle Institute, Statistics Canada, Survey Research Center of the University of Michigan, and U. S. Bureau of the Census. Part IV discusses the use of superpopulation models in survey design and inference. Part V tackles a number of different problems in variance estimation while Part VI deals with imputation techniques.