Object Oriented Data Analysis
J. S. Marron
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Mixture Models : Parametric, Semiparametric, and New Directions
Weixin Yao
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Functional Data Analysis with R
Ciprian M. Crainiceanu
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Martingale Methods in Statistics
Yoichi (School of International Liberal Studies, Faculty of Nishiyama
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Generalized Linear Models
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Statistical Learning with Sparsity : The Lasso and Generalizations
Trevor (Stanford university Stanford University Stanford Unive Hastie
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Hidden Markov Models for Time Series : An Introduction Using R, Second Edition
Walter (University of Gottingen, Germany) Zucchini
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Dependence Modeling with Copulas
Harry Joe
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Joint Modeling of Longitudinal and Time-to-Event Data
Robert (UCLA School of Public Health, Los Angeles, Californi Elashoff
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Design and Analysis of Cross-Over Trials
Byron Jones
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Analysis of Incomplete Multivariate Data
J.L. Schafer
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Nonparametric Models for Longitudinal Data : With Implementation in R
Colin O. Wu
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Kernel Smoothing
M.P. Wand
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Density Estimation for Statistics and Data Analysis
Bernard. W. (St Peter's College, Oxford, UK) Silverman
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Density Estimation for Statistics and Data Analysis
Bernard. W. (St Peter's College, Oxford, UK) Silverman
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Data Analysis and Approximate Models : Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis
Patrick Laurie Davies
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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns
Peter J. Diggle
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Statistical Learning with Sparsity : The Lasso and Generalizations
Trevor (Stanford university Stanford University Stanford Unive Hastie
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Sparse Graphical Modeling for High Dimensional Data : A Paradigm of Conditional Independence Tests
Faming Liang
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Bayesian nonparametrics for causal inference and missing data
Michael J. Daniels
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Change-point Methodology and Applications
Tze Leung (Stanford University, California, USA) Lai
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An Introduction to the Bootstrap
Bradley (Stanford University, Palo Alto, California, USA) Efron
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