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Getting started in mathematical life sciences : from MATLAB programming to computer simulations

Statistics and analysis of scientific data

A gentle introduction to group theory

Bayesian statistical modeling with Stan, R, and Python

Examples in Parametric Inference with R

Statistical Analysis of Microbiome Data with R

Data Analysis with SPSS for Survey-based Research

Data analysis with SPSS for survey-based research

Advanced Sampling Methods

Advanced sampling methods

Time Series Analysis for the State-Space Model with R/Stan

Time series analysis for the state-space model with R/Stan

Longitudinal Data Analysis : Autoregressive Linear Mixed Effects Models

Nonlinear Principal Component Analysis and Its Applications

Educational measurement for applied researchers : theory into practice

Statistical estimation for truncated exponential families

Characterizing Interdependencies of Multiple Time Series : Theory and Applications

Statistical Modelling of Survival Data with Random Effects : H-Likelihood Approach

Examples in Parametric Inference with R

Matrix-Based Introduction to Multivariate Data Analysis

Educational Measurement for Applied Researchers : Theory into Practice

An Introduction to Clustering with R

Non-Asymptotic Analysis of Approximations for Multivariate Statistics

Qualitative Research Using R: A Systematic Approach

Statistical Methods in Social Science Research

Doubly Classified Model with R

Deep Learning with R

Analysis of Doubly Truncated Data : An Introduction

Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) : Transcending Boundaries, Embracing Multidisciplinary Diversities

Data Science Techniques for Cryptocurrency Blockchains

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