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Modelling Longitudinal and Spatially Correlated Data
. Ed(S): Gregoire, Timothy G.; Brillinger, David R.; Diggle, Peter J.; Russek-Cohen, Estelle; Warren, William G.; Wolfinger, Russell D.
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Description for Modelling Longitudinal and Spatially Correlated Data
paperback. This refereed volume includes papers presented at a conference on modelling longitudinal and spatially correlated data. Many of the best researchers in the world have presented papers in an area with important applications to biostatistics and the environmental sciences. Editor(s): Gregoire, Timothy G.; Brillinger, David R.; Diggle, Peter J.; Russek-Cohen, Estelle; Warren, William G.; Wolfinger, Russell D. Series: Lecture Notes in Statistics. Num Pages: 412 pages, biography. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 21. Weight in Grams: 586.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
1997
Publisher
Springer-Verlag New York Inc. United States
Number of pages
412
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
402
Place of Publication
New York, NY, United States
ISBN
9780387982168
SKU
V9780387982168
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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