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Heavy-Tail Phenomena: Probabilistic and Statistical Modeling (Springer Series in Operations Research and Financial Engineering)
Heavy-Tail Phenomena: Probabilistic and Statistical Modeling (Springer Series in Operations Research and Financial Engineering)
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Bayesian Analysis with Python - Second Edition: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ
Bayesian Analysis with Python - Second Edition: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ
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Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Series in Actuarial Science)
Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Series in Actuarial Science)
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Reliability: Probabilistic Models and Statistical Methods, Third Edition
Reliability: Probabilistic Models and Statistical Methods, Third Edition
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The Emergence of Probability: A Philosophical Study of Early Ideas About Probability Induction and Statistical Inference (Cambridge Series on Statistical & Probabilistic Mathematics)
The Emergence of Probability: A Philosophical Study of Early Ideas About Probability Induction and Statistical Inference (Cambridge Series on Statistical & Probabilistic Mathematics)
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Statistical Hypothesis Testing in Context: Volume 52: Reproducibility, Inference, and Science: Series Number 52 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 52)
Statistical Hypothesis Testing in Context: Volume 52: Reproducibility, Inference, and Science: Series Number 52 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 52)
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Confidence, Likelihood, Probability: Statistical Inference with Confidence Distributions: 41 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 41)
Confidence, Likelihood, Probability: Statistical Inference with Confidence Distributions: 41 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 41)
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Statistical Principles for the Design of Experiments: Applications to Real Experiments: 36 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 36)
Statistical Principles for the Design of Experiments: Applications to Real Experiments: 36 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 36)
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Mathematical Foundations of Infinite-Dimensional Statistical Models: 40 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Mathematical Foundations of Infinite-Dimensional Statistical Models: 40 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
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Statistical Models: 11 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11)
Statistical Models: 11 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11)
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Essentials of Statistical Inference: 16 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16)
Essentials of Statistical Inference: 16 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16)
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Statistical Analysis of Stochastic Processes in Time: 14 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 14)
Statistical Analysis of Stochastic Processes in Time: 14 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 14)
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Essentials of Statistical Inference
Essentials of Statistical Inference
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Mathematical Foundations of Infinite-Dimensional Statistical Models: Series Number 40 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Mathematical Foundations of Infinite-Dimensional Statistical Models: Series Number 40 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
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Numerical Methods of Statistics: 32 (Cambridge Series in Statistical and Probabilistic Mathematics)
Numerical Methods of Statistics: 32 (Cambridge Series in Statistical and Probabilistic Mathematics)
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Model-Based Clustering and Classification for Data Science: With Applications in R: Series Number 50 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Model-Based Clustering and ssification for Data Science: With Applications in R: Series Number 50 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
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Markov Chains: 2 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 2)
Markov Chains: 2 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 2)
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Random Graphs and Complex Networks: Volume 1: 43 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 43)
Random Graphs and Complex Networks: Volume 1: 43 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 43)
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Long-Range Dependence and Self-Similarity: 45 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 45)
Long-Range Dependence and Self-Similarity: 45 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 45)
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Probability on Trees and Networks: Series Number 42 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 42)
Probability on Trees and Networks: Series Number 42 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 42)
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Stochastic Processes: 33 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 33)
Stochastic Processes: 33 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 33)
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Semiparametric Regression (Cambridge Series in Statistical and Probabilistic Mathematics): 12 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 12)
Semiparametric Regression (Cambridge Series in Statistical and Probabilistic Mathematics): 12 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 12)
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Modern Discrete Probability: An Essential Toolkit (Cambridge Series in Statistical and Probabilistic Mathematics)
Modern Discrete Probability: An Essential Toolkit (Cambridge Series in Statistical and Probabilistic Mathematics)
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Bayesian Nonparametrics: 28 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 28)
Bayesian Nonparametrics: 28 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 28)
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Symmetry Studies: An Introduction to the Analysis of Structured Data in Applications: 26 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 26)
Symmetry Studies: An Introduction to the Analysis of Structured Data in Applications: 26 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 26)
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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications: 56 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 56)
Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications: 56 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 56)
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Spectral Analysis for Univariate Time Series: 51 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 51)
Spectral Analysis for Univariate Time Series: 51 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 51)
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Asymptotic Statistics: 3 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 3)
Asymptotic Statistics: 3 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 3)
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Random Graphs and Complex Networks (Cambridge Series in Statistical and Probabilistic Mathematics)
Random Graphs and Complex Networks (Cambridge Series in Statistical and Probabilistic Mathematics)
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Regression for Categorical Data: 34 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 34)
Regression for Categorical Data: 34 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 34)
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Fundamentals of Nonparametric Bayesian Inference: 44 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Fundamentals of Nonparametric Bayesian Inference: 44 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
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Empirical Processes in M-Estimation: 6 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 6)
Empirical Processes in M-Estimation: 6 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 6)
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Design of Comparative Experiments: 25 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 25)
Design of Comparative Experiments: 25 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 25)
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The Fundamentals of Heavy Tails: Properties, Emergence, and Estimation: Series Number 53 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 53)
The Fundamentals of Heavy Tails: Properties, Emergence, and Estimation: Series Number 53 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 53)
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Brownian Motion: 30 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 30)
Brownian Motion: 30 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 30)
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Probability on Trees and Networks: 42 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 42)
Probability on Trees and Networks: 42 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 42)
£52.98
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Predictive Statistics: Analysis and Inference beyond Models: 46 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 46)
Predictive Statistics: Analysis and Inference beyond Models: 46 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 46)
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Exercises in Probability: A Guided Tour From Measure Theory To Random Processes, Via Conditioning: 35 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 35)
Exercises in Probability: A Guided Tour From Measure Theory To Random Processes, Via Conditioning: 35 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 35)
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Measure Theory and Filtering: Introduction and Applications: 15 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 15)
Measure Theory and Filtering: Introduction and Applications: 15 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 15)
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Wavelet Methods for Time Series Analysis: 4 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 4)
Wavelet Methods for Time Series Analysis: 4 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 4)
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