Statistics and Probabilities

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Data Science Using Python and R

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Degradation Processes in Reliability

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Lattice Path Combinatorics and Applications

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Modern Statistical Methods for Spatial and Multivariate Data

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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence

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Meta-Analysis: A Structural Equation Modeling Approach

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Methods of Multivariate Analysis

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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

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Mixtures: Estimation and Applications

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Estimation of Stochastic Processes with Stationary Increments and Cointegrated Sequences

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Lectures on Quantum Statistics: With Applications to Dilute Gases and Plasmas

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Theoretical and Applied Statistics: In Honour of Corrado Gini - SIS 2015, Treviso, Italy, September 9–11

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A Practical Guide to Age-Period-Cohort Analysis: The Identification Problem and Beyond

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Applied Directional Statistics: Modern Methods and Case Studies

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An Accidental Statistician: The Life and Memories of George E. P. Box

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Deep Learning: Fundamentals, Theory and Applications

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Statistical Mechanics of Classical and Disordered Systems: Luminy, France, August 2018

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Advances in Algebra: SRAC 2017, Mobile, Alabama, USA, March 17-19

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Data Analytics for Engineering and Construction Project Risk Management

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Applied Bayesian Modelling

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Ensemble Classification Methods with Applications in R

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Essential Statistical Concepts for the Quality Professional

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Fundamental Statistical Inference: A Computational Approach

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How Qualitative Data Analysis Happens: Moving Beyond "Themes Emerged"

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Markov Chains: Analytic and Monte Carlo Computations

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Markov Chains: Theory and Applications

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Markov Processes and Applications: Algorithms, Networks, Genome and Finance

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Mathematical Methods in Survival Analysis, Reliability and Quality of Life

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Mathematics and Philosophy

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Mathematics and Statistics for Financial Risk Management

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