Statistical Inference
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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The Elements of Statistical Learning
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Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
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A Handbook of Statistical Analyses Using R
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Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition)
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
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Generalized Linear Models, Second Edition (Monographs on Statistics and Applied Probability)
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Modern Applied Statistics with S
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Statistics for Experimenters: Design, Innovation, and Discovery , 2nd Edition
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Monte Carlo Statistical Methods (Springer Texts in Statistics)
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Lattice: Multivariate Data Visualization with R (Use R)
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Counterexamples in Analysis (Dover Books on Mathematics)
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Data Analysis and Graphics Using R
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R Graphics (Computer Science and Data Analysis)
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An Introduction to the Bootstrap (Monographs on Statistics and Applied Probability)
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Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
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The Nature of Statistical Learning Theory (Information Science and Statistics)
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Robust Portfolio Optimization and Management (Frank J Fabozzi Series)
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An Introduction to Multivariate Statistical Analysis (Wiley Series in Probability and Statistics)
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Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)
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Testing Statistical Hypotheses (Springer Texts in Statistics)
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Real Analysis and Probability
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Principal Component Analysis
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Generalized Additive Models (Monographs on Statistics and Applied Probability)
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Elements of Large-Sample Theory (Springer Texts in Statistics)
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All of Nonparametric Statistics (Springer Texts in Statistics)
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Statistical Analysis with Missing Data, Second Edition
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Bootstrap Methods and Their Application (Cambridge Series in Statistical and Probabilistic Mathematics , No 1)
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Sequential Monte Carlo Methods in Practice (Statistics for Engineering and Information Science)
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Robust Statistics: Theory and Methods (Wiley Series in Probability and Statistics)
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Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
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Approximation Theorems of Mathematical Statistics
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Principles of Statistical Inference
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Quantile Regression (Econometric Society Monographs)
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Testing Statistical Hypotheses (Springer Texts in Statistics)
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Finite Mixture Models (Wiley Series in Probability and Statistics)
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Semiparametric Regression (Cambridge Series in Statistical and Probabilistic Mathematics)
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Resampling Methods: A Practical Guide to Data Analysis
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Order Statistics (Wiley Series in Probability and Statistics)
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Density Estimation for Statistics and Data Analysis (Monographs on Statistics and Applied Probability)
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Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition
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Mathematical Problems in Image Processing
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R Reference Manual: Base Package, Vol. 2
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Robust Statistics: The Approach Based on Influence Functions (Wiley Series in Probability and Statistics)
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Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
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Robust Statistics: The Approach Based on Influence Functions (Wiley Series in Probability and Statistics)
Author: Frank R. Hampel
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Algorithms, Routines, and S-Functions for Robust Statistics
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