Patrick Laurie Davies July 07, The Bayesian concept of coherence is based on the fact that two different models or parameter values cannot both be true.
CRC Press Online - Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data. Vine copula models are constructed from a sequence of bivariate copulas. The book develops generalizations of vine Justine Shults, Joseph M. Hilbe January 28, Randomised Response-Adaptive Designs in Clinical Trials presents methods for the randomised allocation of treatments to patients in sequential clinical trials.
Statistical Analysis of Spatial and Spatio-Temporal Point Patterns
Emphasizing the practical application of clinical trial designs, the book is designed for medical and applied statisticians, clinicians, Bringing together both new and old results, Theory of Factorial Design: Single- and Multi-Stratum Experiments provides a rigorous, systematic, and up-to-date treatment of the theoretical aspects of factorial design.
To prepare readers for a general theory, the author first presents a unified Please accept our apologies for any inconvenience this may cause. Exclusive web offer for individuals.
Exploring the Limits of Limited Data 1st Edition. Pareto Distributions 2nd Edition. Introduction to High-Dimensional Statistics 1st Edition.
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Hypothesis Testing and Changepoint Detection 1st Edition. Dependence Modeling with Copulas 1st Edition. Quasi-Least Squares Regression 1st Edition. Statistical Inference Based on the likelihood Adelchi Azzalini. Finite Mixture Distributions B.
Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Bandit problems Donald A. Identification of Outliers D. Stochastic Abundance Models S. Stochastic Modelling and Control Mark Davis. Risk Theory Roger Beard. Spatial Cluster Modelling Andrew B. The Analysis of Time Series: Theory and Practice Christopher Chatfield.
Zentralblatt MATH identifier Keywords product partition models spatial smoothing spatial clustering spatial prediction. Spatial Product Partition Models.
More by Garritt L. Page Search this author in: Google Scholar Project Euclid. More by Fernando A. Quintana Search this author in: Abstract Article info and citation First page References Supplemental materials See also Abstract When modeling geostatistical or areal data, spatial structure is commonly accommodated via a covariance function for the former and a neighborhood structure for the latter.
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