Statistics and Probabilities

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Data Visualization and Statistical Literacy for Open and Big Data

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Applied Multiple Imputation: Advantages, Pitfalls, New Developments and Applications in R

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Statistics for Beginners in Data Science: Theory and Applications of Essential Statistics Concepts using Python

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An Introduction to Categorical Data Analysis

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Introduction to Probability Models

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Introduction to Time Series Modeling with Applications in R

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Acceptance Sampling in Quality Control

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Bilinear Regression Analysis: An Introduction

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Evidence-Based Statistics: An Introduction to the Evidential Approach - from Likelihood Principle to Statistical Practice

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Analyzing Dependent Data with Vine Copulas: A Practical Guide With R

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Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance

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Supervised Machine Learning: Optimization Framework and Applications with SAS and R

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Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches

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Approximate Dynamic Programming: Solving the Curses of Dimensionality, 2nd Edition

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SAS® Coding Primer and Reference Guide

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Spatial Analysis with R: Statistics, Visualization, and Computational Methods

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Predictive Analytics: Parametric Models for Regression and Classification Using R

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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

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Applied Machine Learning

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Matrices, Statistics and Big Data: Selected Contributions from IWMS 2016

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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

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Statistical Topics and Stochastic Models for Dependent Data with Applications

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Euclidean Design Theory

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Nonlinear Expectations and Stochastic Calculus under Uncertainty: with Robust CLT and G-Brownian Motion

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A Primer of Permutation Statistical Methods

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Linear Time Series with MATLAB and OCTAVE

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Statistical Inversion of Electromagnetic Logging Data

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Case Studies in Bayesian Statistical Modelling and Analysis

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Regression Modeling and Data Analysis with Applications in R

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Basic and Advanced Statistical Tests: Writing Results Sections and Creating Tables and Figures

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