Optimal Experimental Design : A Concise Introduction for Researchers
Jesus Lopez-Fidalgo
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Bayesian Learning for Neural Networks
Radford M. Neal
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Multivariate Reduced-Rank Regression : Theory, Methods and Applications
Gregory C. Reinsel
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Spatial Statistics and Computational Methods
Jesper Moller
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Probability Matching Priors: Higher Order Asymptotics
Gauri Sankar Datta
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Space, Structure and Randomness : Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology
Michel Bilodeau
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Proceedings of the Second Seattle Symposium in Biostatistics : Analysis of Correlated Data
Danyu Lin
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Nonparametric Goodness-of-Fit Testing Under Gaussian Models
Yuri Ingster
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Ranked Set Sampling : Theory and Applications
Zehua Chen
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Spatial Statistics and Computational Methods
Jesper Moller
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Inference for Change Point and Post Change Means After a CUSUM Test
Yanhong Wu
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Nonparametric Monte Carlo Tests and Their Applications
Lixing Zhu
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Case Studies in Spatial Point Process Modeling
Adrian Baddeley
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Space, Structure and Randomness : Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology
Michel Bilodeau
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
Estela Bee Dagum
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Case Studies in Spatial Point Process Modeling
Adrian Baddeley
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Series Approximation Methods in Statistics
John E. Kolassa
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Functional Approach to Optimal Experimental Design
Viatcheslav B. Melas
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Dependence in Probability and Statistics
Patrice Bertail
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Series Approximation Methods in Statistics
John E. Kolassa
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
Estela Bee Dagum
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Dependence in Probability and Statistics
Patrice Bertail
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