Valerie Isham
- Auteur
Boeken van Valerie Isham
M.K. Murray
Michael Murray
Cox
John Rice
Reid
J.W. Rice
Valerie Isham
R.J. Tibshirani
Thomas Louis
Howell Tong
Niels Keiding
Differential Geometry and Statistics
This book explains why geometry should enter into parametric statistics and how the theory of asymptotic expansions involves a form of higher-order differential geometry.
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D.R. (Nuffield College, Oxford University, UK) Cox
D.R. Cox
Valerie (University College, London, UK) Isham
Valerie Isham
Point Processes
This book describes the properties of stochastic probabilistic models and develops the applied mathematics of stochastic point processes. It is useful to students and research workers in probability and statistics and also to research workers wishing to apply stochastic point processes.
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Sudipto Banerjee
Bradley P. Carlin
Alan E. Gelfand
Valerie Isham
Thomas A. Louis
Howell Tong
Niels Keiding
Hierarchical Modeling and Analysis for Spatial Data
Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling
Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. Meer
Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. Meer
Barbel Finkenstadt
Valerie Isham
Leonhard Held
Statistical Methods for Spatio-Temporal Systems
Devoted to spatio-temporal models, Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling that will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities.
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Barbel Finkenstadt
Valerie Isham
Leonhard Held
Statistical Methods of Spatio-temporal Systems
Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities.
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