Optimal Experimental Design : A Concise Introduction for Researchers
Jesus Lopez-Fidalgo
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Add to BasketBayesian Learning for Neural Networks
Radford M. Neal
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Stochastic Orders in Reliability and Risk : In Honor of Professor Moshe Shaked
Haijun Li
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Add to BasketUnderstanding Randomness : EXERCISES FOR STATISTICIANS
Salsburg
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Multivariate Nonparametric Methods with R : An approach based on spatial signs and ranks
Hannu Oja
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Advances in Social Science Research Using R
Hrishikesh D. Vinod
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Looking Back : Proceedings of a Conference in Honor of Paul W. Holland
Neil J. Dorans
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Joerg Drechsler
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Generalized Estimating Equations
Andreas Ziegler
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Statistical Challenges in Modern Astronomy V
Eric D. Feigelson
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Add to BasketDihedral Fourier Analysis : Data-analytic Aspects and Applications
Marlos A. G. Viana
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Design of Experiments in Nonlinear Models : Asymptotic Normality, Optimality Criteria and Small-Sample Properties
Luc Pronzato
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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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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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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
Estela Bee Dagum
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