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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Estimation in Conditionally Heteroscedastic Time Series Models
Daniel Straumann
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Estimation in Conditionally Heteroscedastic Time Series Models
Daniel Straumann
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Time Series Models
Manfred Deistler
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Understanding Randomness : EXERCISES FOR STATISTICIANS
Salsburg
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Spatial Statistics and Computational Methods
Jesper Moller
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Parametric and Nonparametric Inference from Record-Breaking Data
Sneh Gulati
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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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Parametric and Nonparametric Inference from Record-Breaking Data
Sneh Gulati
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Nonlinear Estimation and Classification
David D. Denison
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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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Inference for Change Point and Post Change Means After a CUSUM Test
Yanhong Wu
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Case Studies in Spatial Point Process Modeling
Adrian Baddeley
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Nonparametric Monte Carlo Tests and Their Applications
Li-Xing Zhu
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