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A level further mathematics for OCR A: Statistics student book (AS/A level)

A level further mathematics for AQA: Statistics

Mathematics for machine learning

All the math you missed : (but need to know for graduate school)

statistics : (AS/A level) with Cambridge elevate edition (2 years): Student book

A level further mathematics for OCR A: Statistics student book (AS/A level) with Cambridge Elevate edition (2 years)

Stochastic modelling of reaction-diffusion processes

Modern statistics for modern biology

The fundamentals of social research

Risk revealed : cautionary tales, understanding and communication

Introduction to applied linear algebra : vectors, matrices, and least squares

Dicing with death : living by data

Graph theory and additive combinatorics : exploring structure and randomness

Control systems and reinforcement learning

Data science in context : foundations, challenges, opportunities

Statistical survey design and evaluating impact

Statistical inference as severe testing : how to get beyond the statistics wars

Bayesian data analysis for the behavioral and neural sciences : non-calculus fundamentals

Counterfactuals and causal inference : methods and principles for social research

Stable Lâevy processes via Lamperti-type representations

Stochastic processes

Model-based clustering and classification for data science : with applications in R

Counterexamples in measure and integration

Regression for health and social science : applied linear models with R

Harmonic Functions and Random Walks on Groups

Groups and Graphs, Designs and Dynamics

Play of Chance and Purpose : An Invitation to Probability, Statistics, and Stochasticity Using Simulations and Projects

Processing networks : fluid models and stability

Statistical hypothesis testing in context : reproducibility, inference, and science

Operator adapted wavelets, fast solvers, and numerical homogenization : from a game theoretic approach to numerical approximation and algorithm design

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