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

Quantitative Epidemiology

Applying Quantitative Bias Analysis to Epidemiologic Data

Luminescence : Data Analysis and Modeling Using R

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

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

Population Health and the Future of Healthcare

Foundations and Methods of Stochastic Simulation : A First Course

Econometrics

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

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

Applying Quantitative Bias Analysis to Epidemiologic Data

Novel Mathematics Inspired by Industrial Challenges

Multivariate, Multilinear and Mixed Linear Models

An Introduction to Sequential Monte Carlo

Eco-Stats: Data Analysis in Ecology : From t-tests to Multivariate Abundances

Statistical Quality Technologies : Theory and Practice

Time Series in Economics and Finance

Mathematical and Statistical Methods for Actuarial Sciences and Finance : MAF 2022

Financial Risk Management and Modeling

Applied Research Methods in Urban and Regional Planning

Numerical Infinities and Infinitesimals in Optimization

The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume I : Overcoming the Curse of Dimensionality: Linear Systems

Univariate Stable Distributions : Models for Heavy Tailed Data

Topics in Groups and Geometry : Growth, Amenability, and Random Walks

Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

AI and Analytics for Smart Cities and Service Systems : Proceedings of the 2021 INFORMS International Conference on Service Science

Statistics in the Public Interest : In Memory of Stephen E. Fienberg

Semigroups of Operators – Theory and Applications : SOTA, Kazimierz Dolny, Poland, September/October 2018

Bayesian Inference of State Space Models : Kalman Filtering and Beyond

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