Statistical Modeling and Analysis for Complex Data Problems
Language: English
Published by Springer US, 2010
- Softcover
- New
Condition: New
£ 86.03
Quantity: Over 20 available
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One of ten volumes marking the 25th anniversary of GERAD covering most of the Center s research areas of expertiseExamines the methods and problems from a modeling perspective and surveys the state of current research on each topic and provides di.
Seller Inventory # 4174139
- Title
- Statistical Modeling and Analysis for Complex Data Problems
- Author
- Duchesne, Pierre|Rémillard, Bruno
- Publisher
- Springer US
- Publication year
- 2010
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 144193751X
- ISBN 13
- 9781441937513
Twenty-nine authors – largely from Montreal's GERAD Multi-University Research Center and working in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes – present survey chapters on various theoretical and applied problems. The volume treats some of today’s more complex problems from a modeling perspective and surveys the state of current research on each topic, also providing directions for further research exploration of the area. One of ten volumes marking the 25th anniversary of GERAD.
"Synopsis" may belong to another edition of this title.
From the Back Cover
STATISTICAL MODELING AND ANALYSIS FOR COMPLEX DATA PROBLEMS treats some of today’s more complex problems and it reflects some of the important research directions in the field. Twenty-nine authors―largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes―present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains. Some of the areas and topics examined in the volume are: an analysis of complex survey data, the 2000 American presidential election in Florida, data mining, estimation of uncertainty for machine learning algorithms, interacting stochastic processes, dependent data & copulas, Bayesian analysis of hazard rates, re-sampling methods in a periodic replacement problem, statistical testing in genetics and for dependent data, statistical analysis of time series analysis, theoretical and applied stochastic processes, and an efficient non linear filtering algorithm for the position detection of multiple targets.
The book examines the methods and problems from a modeling perspective and surveys the state of current research on each topic and provides direction for further research exploration of the area.
"About the title" may belong to another edition of this title.
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