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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 >>
The Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI... Read More >>
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This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the... Read More >>
For advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II and... Read More >>
The primary objective of this book is to present a comprehensive treatment of uncertainty quantification in variational... 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 provides a compact exposition of the results explaining interrelations between diffusion stochastic processes,... Read More >>
This book presents the most commonly used techniques for the most statistical inferences based on fuzzy data. It... Read More >>
Il s'agit d'un travail traversé par des thématiques scientifiques et techniques dans laquelle interagisse l'indispensable... Read More >>
This gives a comprehensive introduction to the (standard) statistical analysis based on the theory of martingales... Read More >>
Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians... Read More >>
This book intends to serve a very broad audience of college students across a variety of disciplines. It exposes... Read More >>
Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction... Read More >>
This book demonstrates how interpreting abstract inequalities can optimise engineering design processes, with applications... Read More >>
This book investigates the world of leading indicators and explores how they can effectively be used, providing... Read More >>
Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random... Read More >>
The book is designed to be very accessible, with a focus on methods, examples, and computing, and theoretical details... Read More >>
This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers,... Read More >>
The book offers a concise yet comprehensive introduction to supply chain analytics covering management, modeling,... Read More >>
This book provides an introductory overview of random variables and their transformations. The authors have updated... Read More >>
Artificial Intelligence and Causal Inference address the recent development of relationships between artificial... Read More >>
Thoroughly updated throughout, this second edition will continue to be about the practicable methods of statistical... Read More >>
Object Oriented Data Analysis (OODA) provides a useful general framework for the consideration of many types of... Read More >>