Statistics and Probabilities

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

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SAS® Coding Primer and Reference Guide

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

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Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R

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Applications of Combinatorial Optimization

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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance

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Enhancing Qualitative and Mixed Methods Research with Technology

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

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

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Applying the Rasch Model: Fundamental Measurement in the Human Sciences

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

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

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Data Science for Mathematicians

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

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Bilinear Regression Analysis: An Introduction

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Introduction to Statistical Process Control

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Empirical Macroeconomics and Statistical Uncertainty: Spatial and Temporal Disaggregation of Regional Economic Indicators

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Analytical Methods in Statistics: AMISTAT, Prague, November 2015

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Acceptance Sampling in Quality Control

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Introduction to Time Series Modeling with Applications in R

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Statistics: A Concise Mathematical Introduction for Students, Scientists, and Engineers

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Introduction to Probability Models

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Essential Statistics, Regression, and Econometrics

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An Introduction to Categorical Data Analysis

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A Course in Mathematical Statistics and Large Sample Theory

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

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Shrinkage Estimation for Mean and Covariance Matrices

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

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Data Visualization and Statistical Literacy for Open and Big Data

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Statistical Modelling by Exponential Families

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