Modelling Longitudinal and Spatially Correlated Data /
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...
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| Other Authors: | , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint : Springer,
1997.
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| Series: | Lecture notes in statistics (Springer-Verlag) ;
122. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (420 pages 20 illustrations) |
| ISBN: | 9781461206996 (electronic bk.) 1461206995 (electronic bk.) |