probability: theory, examples,

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Probability: Theory and Examples: 49 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)
Probability: Theory and Examples: 49 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)
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High-Dimensional Probability With Engineering Applications: Theory, Examples, and Python Implementations (Computational Mathematics Library)
High-Dimensional Probability With Engineering Applications: Theory, Examples, and Python Implementations (Computational Mathematics Library)
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Probability: Theory, Examples, Problems, Simulations
Probability: Theory, Examples, Problems, Simulations
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PYTHON FOR PROBABILITY THEORY 2025: Hands-On Tutorials with Code Examples for Data Science.
PYTHON FOR PROBABILITY THEORY 2025: Hands-On Tutorials with Code Examples for Data Science.
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Probability Theory and Statistical Inference : Empirical Modeling with Observational Data
Probability Theory and Statistical Inference : Empirical Modeling with Observational Data
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High-Dimensional Probability With Engineering Applications: Theory, Examples, and Python Implementations (Computational Mathematics Library)
High-Dimensional Probability With Engineering Applications: Theory, Examples, and Python Implementations (Computational Mathematics Library)
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Probability Theory for Quantitative Scientists
Probability Theory for Quantitative Scientists
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Statistics for Data Scientists : An Introduction to Probability, Statistics, and Data Analysis
Statistics for Data Scientists : An Introduction to Probability, Statistics, and Data Analysis
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Modern Discrete Probability : An Essential Toolkit
Modern Discrete Probability : An Essential Toolkit
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Introduction to Probability, Second Edition
Introduction to Probability, Second Edition
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Statistical Models : Theory and Practice
Statistical Models : Theory and Practice
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Bayesian Inference : Theory, Methods, Computations
Bayesian Inference : Theory, Methods, Computations
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Mathematical Methods in Data Science : Bridging Theory and Applications with Python
Mathematical Methods in Data Science : Bridging Theory and Applications with Python
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An Advanced Course in Probability and Stochastic Processes
An Advanced Course in Probability and Stochastic Processes
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An Introduction to Probabilistic Number Theory
An Introduction to Probabilistic Number Theory
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Theory of Factorial Experiments : Modern Methods, Applications, and R Implementation
Theory of Factorial Experiments : Modern Methods, Applications, and R Implementation
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Introduction to Probability
Introduction to Probability
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Generalized Functions : Theory and Applications
Generalized Functions : Theory and Applications
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Probability and Statistics for Data Science
Probability and Statistics for Data Science
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Probability For Dummies
Probability For Dummies
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A Course in Item Response Theory and Modeling with Stata
A Course in Item Response Theory and Modeling with Stata
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Introduction to Probabilistic and Statistical Methods with Examples in R
Introduction to Probabilistic and Statistical Methods with Examples in R
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Statistical Theory : A Concise Introduction
Statistical Theory : A Concise Introduction
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System Reliability Theory : Models, Statistical Methods, and Applications
System Reliability Theory : Models, Statistical Methods, and Applications
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Fundamentals of Probability
Fundamentals of Probability
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Mathematical Methods in Data Science : Bridging Theory and Applications with Python
Mathematical Methods in Data Science : Bridging Theory and Applications with Python
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Probability Workbook For Dummies
Probability Workbook For Dummies
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An Introduction to Ergodic Theory
An Introduction to Ergodic Theory
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Empirical Finance : Theory and Application
Empirical Finance : Theory and Application
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An Introduction to K-Theory for C*-Algebras
An Introduction to K-Theory for C*-Algebras
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A First Course in Probability, Global Edition
A First Course in Probability, Global Edition
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Essential Math for Data Science : Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Essential Math for Data Science : Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
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Theory of Spatial Statistics : A Concise Introduction
Theory of Spatial Statistics : A Concise Introduction
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Understanding Markov Chains : Examples and Applications
Understanding Markov Chains : Examples and Applications
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Quantitative Evaluation of Measurement Uncertainty : Theory and Practice
Quantitative Evaluation of Measurement Uncertainty : Theory and Practice
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Elementary Probability with Applications
Elementary Probability with Applications
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