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This book discusses the role of mobile network data in urban informatics, particularly how mobile network data is... Read More >>
This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and... Read More >>
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This book presents state-of-the-art of optimization algorithms followed by internet of things (IoT) fundamentals.... Read More >>
Introduces the reader to methodologies in recovery problems for objects, such as functions and signals, from partial... Read More >>
It covers a variety of topics, including univariate interval-censored data, multivariate interval-censored data,... Read More >>
For researchers who use surveys interested in learning how to seize vast possibilities and flexibility of R in survey... Read More >>
This book explores visualization and imputation techniques for missing values and presents practical applications... Read More >>
This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montréal, Canada,... Read More >>
This book is about data analytics, including problem definition, data preparation, and data analysis. A variety... Read More >>
This volume presents a collection of twenty-five peer-reviewed articles carefully selected from the contributions... Read More >>
The book summarizes research work on the Wajid Sandstone, which provides integrated field and laboratory data to... Read More >>
"In a world where innovation and sustainability are paramount, Fundamentals of Design of Experiments for Automotive... Read More >>
This book offers a comprehensive examination of the Cramér–Lundberg model, which is the most extensively researched... Read More >>
Advances in technology and data infrastructure call for innovations in clinical trial design. This book will be... Read More >>
educational and behavioral statistics.This collection will be of interest to researchers, advanced students, and... Read More >>
The author discusses several algorithms that improve the scalability and communication efficiency of synchronous... Read More >>
Machine Learning Governance for Managers provides readers with the knowledge to unlock insights from data and leverage... Read More >>
This book provides a deep understanding of the relationship between machine learning and causal inference. It covers... Read More >>
The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory... Read More >>
The content would serve as a rich knowledge repository on information & communication technologies, neural networks,... Read More >>
Maximum Likelihood Estimation with Stata, Fifth Edition is the essential reference and guide for researchers in... Read More >>