Gebraucht - Gut Zustand: Gut, M�ngelexemplar, 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.

N� de ref. del art�culo 15600

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Modelling Longitudinal and Spatially Correlated Data.
Editor: Springer Verlag
Fecha de publicaci�n: 1997
Idioma: Ingl�s
ISBN 10: 0387982167
ISBN 13: 9780387982168
Encuadernaci�n: Softcover
Estado: Gut

Acerca de

Sinopsis

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.

Rese�a del editor

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.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Online Handel mit gebrauchten und antiquarischen B�chern.

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

CSG Onlinebuch GMBH
Bunsenstr. 6, Darmstadt, 64293, Germany

Condiciones de venta y env�o

Condiciones de venta

Verantwortlich im Sinne des Presserechts und des Mediendienste-Staatsvertrages sowie Diensteanbieter gem�� der Commerce-Richtlinie der EU ist die CSG Onlinebuch GmbH. Postadresse: CSG Onlinebuch GmbH Bunsenstr. 6 D-64293 Darmstadt, Tel.: 06151-988530, Mail: info@onlinebuch.de

Vertretungsberechtigte Gesellschafter: Stefan Gude Handelsregister: HRB 5604 - Amtsgericht Darmstadt Ust.-ID gem�ss Para. 27 a Umsatzsteuergesetz: DE147863163

Allgemeine Gesch�ftsbedingungen und Kundeninformationen

I. Allge...

M�s informaci�n

Condiciones de env�o

2-5 Werktage / B�chersendungen bis zu 7 Werktagen (nach Zahlungseingang)

Gilt f�r Lieferungen nach Deutschland. Lieferzeit f�r andere L�nder maximal 14 Werktage.

Die Frist f�r die Lieferung beginnt bei Zahlung per Vorkasse am Tag nach Erteilung des Zahlungsauftrags an das �berweisende Kreditinstitut bzw. bei anderen Zahlungsarten am Tag nach Vertragsschluss zu laufen und endet mit dem Ablauf des letzten Tages der Frist. F�llt der letzte Tag der Frist auf einen Samstag, Sonntag oder einen am Lieferort staatlich anerkannten allgemeinen Feiertag, so tritt an die Stelle eines solchen Tages der n�chste Werktag.

Informaci�n detallada sobre el vendedor