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Modelling Longitudinal and Spatially Correlated Data: 122 (Lecture Notes in Statistics) - Tapa blanda
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Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October 1996 a group of 210 statisticians and other scientists assembled on the small island of Nantucket, U. S. A. , to present and discuss new developments relating to Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Direc tions. Its purpose was to provide a cross-disciplinary forum to explore the commonalities and meaningful differences in the source and treatment of such data. This volume is a compilation of some of the important invited and volunteered presentations made during that conference. The three days and evenings of oral and displayed presentations were arranged into six broad thematic areas. The session themes, the invited speakers and the topics they addressed were as follows: · Generalized Linear Models: Peter McCullagh-"Residual Likelihood in Linear and Generalized Linear Models" · Longitudinal Data Analysis: Nan Laird-"Using the General Linear Mixed Model to Analyze Unbalanced Repeated Measures and Longi tudinal Data" · Spatio---Temporal Processes: David R. Brillinger-"Statistical Analy sis of the Tracks of Moving Particles" · Spatial Data Analysis: Noel A. Cressie-"Statistical Models for Lat tice Data" · Modelling Messy Data: Raymond J. Carroll-"Some Results on Gen eralized Linear Mixed Models with Measurement Error in Covariates" · Future Directions: Peter J.
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This volume focuses on the statistical treatment of continuous and discrete data measured at different points in time, locations in space, and/or across combined spatio-temporal dimensions. Linear, nonlinear, and generalized linear models and methods are presented, as are new developments to handle messy data. The volume provides an examination of the historical development of approaches to model spatially and temporally correlated data and the ongoing convergence of these methods. The papers are based on ones presented at a conference in Nantucket, Massachusetts in October 1996.
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- Año de publicación2013
- ISBN 10 0387982167
- ISBN 13 9780387982168
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Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Directions: v. 122 (Lecture Notes in Statistics)
Publicado por
Springer New York, 1997
ISBN 10: 0387982167
ISBN 13: 9780387982168
Antiguo o usado
Taschenbuch
Librería: CSG Onlinebuch GMBH, Darmstadt, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Gut. Gebraucht - Gut Zustand: Gut, Mängelexemplar, X, 402 pp. 20 illus. About this book: This volume focuses on the statistical treatment of continuous and discrete data measured at different points in time, locations in space, and/or across combined spatio-temporal dimensions. Linear, nonlinear, and generalized linear models and methods are presented, as are new developments to handle messy data. The volume provides an examination of the historical development of approaches to model spatially and temporally correlated data and the ongoing convergence of these methods. The papers are based on ones presented at a conference in Nantucket, Massachusetts in October 1996. Written for Researchers Graduate Students ISBN 0387982167. Nº de ref. del artículo: 238
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Modelling Longitudinal and Spatially Correlated Data.
Publicado por
Springer Verlag, 1997
ISBN 10: 0387982167
ISBN 13: 9780387982168
Antiguo o usado
Softcover
Librería: CSG Onlinebuch GMBH, Darmstadt, Alemania
Calificación del vendedor: 5 de 5 estrellas
Softcover. Condición: Gut. Gebraucht - Gut Zustand: Gut, Mängelexemplar, X, 402 pp. 20 illus. About this book: This volume focuses on the statistical treatment of continuous and discrete data measured at different points in time, locations in space, and/or across combined spatio-temporal dimensions. Linear, nonlinear, and generalized linear models and methods are presented, as are new developments to handle messy data. The volume provides an examination of the historical development of approaches to model spatially and temporally correlated data and the ongoing convergence of these methods. The papers are based on ones presented at a conference in Nantucket, Massachusetts in October 1996. Written for Researchers Graduate Students. Nº de ref. del artículo: 15600
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Modelling Longitudinal and Spatially Correlated Data (Lecture Notes in Statistics 122)
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Modelling Longitudinal and Spatially Correlated Data (Lecture Notes in Statistics 122)
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Modelling Longitudinal and Spatially Correlated Data
Publicado por
Springer New York Mai 1997, 1997
ISBN 10: 0387982167
ISBN 13: 9780387982168
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October 1996 a group of 210 statisticians and other scientists assembled on the small island of Nantucket, U. S. A. , to present and discuss new developments relating to Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Direc tions. Its purpose was to provide a cross-disciplinary forum to explore the commonalities and meaningful differences in the source and treatment of such data. This volume is a compilation of some of the important invited and volunteered presentations made during that conference. The three days and evenings of oral and displayed presentations were arranged into six broad thematic areas. The session themes, the invited speakers and the topics they addressed were as follows: - Generalized Linear Models: Peter McCullagh-'Residual Likelihood in Linear and Generalized Linear Models' - Longitudinal Data Analysis: Nan Laird-'Using the General Linear Mixed Model to Analyze Unbalanced Repeated Measures and Longi tudinal Data' - Spatio---Temporal Processes: David R. Brillinger-'Statistical Analy sis of the Tracks of Moving Particles' - Spatial Data Analysis: Noel A. Cressie-'Statistical Models for Lat tice Data' - Modelling Messy Data: Raymond J. Carroll-'Some Results on Gen eralized Linear Mixed Models with Measurement Error in Covariates' - Future Directions: Peter J. 420 pp. Englisch. Nº de ref. del artículo: 9780387982168
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Modelling Longitudinal and Spatially Correlated Data
Publicado por
Springer New York, 1997
ISBN 10: 0387982167
ISBN 13: 9780387982168
Nuevo
Kartoniert / Broschiert
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October . Nº de ref. del artículo: 5913204
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Modelling Longitudinal and Spatially Correlated Data
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October 1996 a group of 210 statisticians and other scientists assembled on the small island of Nantucket, U. S. A. , to present and discuss new developments relating to Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Direc tions. Its purpose was to provide a cross-disciplinary forum to explore the commonalities and meaningful differences in the source and treatment of such data. This volume is a compilation of some of the important invited and volunteered presentations made during that conference. The three days and evenings of oral and displayed presentations were arranged into six broad thematic areas. The session themes, the invited speakers and the topics they addressed were as follows: - Generalized Linear Models: Peter McCullagh-'Residual Likelihood in Linear and Generalized Linear Models' - Longitudinal Data Analysis: Nan Laird-'Using the General Linear Mixed Model to Analyze Unbalanced Repeated Measures and Longi tudinal Data' - Spatio---Temporal Processes: David R. Brillinger-'Statistical Analy sis of the Tracks of Moving Particles' - Spatial Data Analysis: Noel A. Cressie-'Statistical Models for Lat tice Data' - Modelling Messy Data: Raymond J. Carroll-'Some Results on Gen eralized Linear Mixed Models with Measurement Error in Covariates' - Future Directions: Peter J. Nº de ref. del artículo: 9780387982168
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Modelling Longitudinal and Spatially Correlated Data
Publicado por
Springer-Verlag New York Inc., 1997
ISBN 10: 0387982167
ISBN 13: 9780387982168
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 608. Nº de ref. del artículo: C9780387982168
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Modelling Longitudinal and Spatially Correlated Data
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. pp. 420. Nº de ref. del artículo: 263071032
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Modelling Longitudinal and Spatially Correlated Data
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
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Condición: New. Print on Demand pp. 420 20 Illus. Nº de ref. del artículo: 5858279
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