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A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R

Econometrics

Population Health and the Future of Healthcare

Statistics for Health Data Science : An Organic Approach

Spatial Networks : A Complete Introduction: From Graph Theory and Statistical Physics to Real-World Applications

Probability in Electrical Engineering and Computer Science : An Application-Driven Course

The Origins of Inequality : Mechanisms, Models, Policy

Quantitative Investing : From Theory to Industry

Applied Statistical Considerations for Clinical Researchers

Quantitative Epidemiology

Computer Vision : Statistical Models for Marr's Paradigm

Demand Prediction in Retail : A Practical Guide to Leverage Data and Predictive Analytics

Primer for Data Analytics and Graduate Study in Statistics

Applying Quantitative Bias Analysis to Epidemiologic Data

An Introduction to Statistics with Python : With Applications in the Life Sciences

Luminescence : Data Analysis and Modeling Using R

A Random Walk in Physics : Beyond Black Holes and Time-Travels

Statistical Foundations, Reasoning and Inference : For Science and Data Science

Linear Model Theory : Exercises and Solutions

Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials

Excel 2019 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems

A Random Walk in Physics : Beyond Black Holes and Time-Travels

Algorithms for a New World : When Big Data and Mathematical Models Meet

Probability with Statistical Applications

Higher Education Policy Analysis Using Quantitative Techniques : Data, Methods and Presentation

Foundations and Methods of Stochastic Simulation : A First Course

Probability Theory : A Comprehensive Course

Understanding Statistics and Experimental Design : How to Not Lie with Statistics

Nonlinear Dynamics : A Concise Introduction Interlaced with Code

Algorithmic Decision Making with Python Resources : From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs

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