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This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond... Read More >>
This gives a comprehensive introduction to the (standard) statistical analysis based on the theory of martingales... Read More >>
Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction... Read More >>
Practical Time Series Analysis for Data Science is an accessible guide that doesn’t require a background in calculus... Read More >>
Like the De Groot winning first edition, the second edition of Principles of Uncertainty is an accessible, comprehensive... Read More >>
Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians... Read More >>
This book provides a compact exposition of the results explaining interrelations between diffusion stochastic processes,... Read More >>
The purpose of applying mathematical theory to the theory of statistical inference is to make it simpler and more... Read More >>
This book investigates statistical observables for anomalous and nonergodic dynamics, focusing on the dynamical... Read More >>
Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random... Read More >>