This book is for students and professionals involved in Geospatial Computations and related areas such as Geomatics, Sur......more

This book is the first in a two-volume series that introduces the field of spatial data science. It offers an accessible......more

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The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools a......more

The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools a......more

This book constitutes the refereed proceedings of the First International Conference on Recent Trends in AI Enabled Tech......more

Mixture models are a powerful tool for analyzing complex and heterogeneous datasets across many scientific fields, from ......more

Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an unders......more

Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an unders......more

Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field. If y......more

With the growing advances in technology and transformation to digital services, the world is becoming more connected and......more

This book deals with the first discriminant theory of linearly separable data (LSD), Theory3, based on the four ordinary......more

Classical Clifford Algebras: Operator-Algebraic and Free-Probabilistic Approaches offers novel insights through operator......more

Like its bestselling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to......more

Like its bestselling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to......more

This title is part of UC Press’s Voices Revived program, which commemorates University of California Press’s mission to ......more

This title is part of UC Press’s Voices Revived program, which commemorates University of California Press’s mission to ......more

This title is part of UC Press’s Voices Revived program, which commemorates University of California Press’s mission to ......more

This text provides an elementary introduction to the probabilistic models and statistical methods used by reliability en......more

The aim of this study was, through the application of geostatistics, to analyze the spatial distribution of turbidity an......more

This book presents an up-to-date perspective on randomized response techniques (RRT). It discusses the most appropriate ......more

Ways that raw and summary data can be turned into visualizations that convey meaningful insights: basic graphs, bar char......more

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Bayesian analysis is today understood to be an extremely powerful method of statistical analysis, as well an approach to......more

Unlike mathematics, statistics deals with real-world data and involves a higher degree of subjectivity due to the role o......more

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This book is the first to focus on the global flow of funds (GFF), providing an introduction to its fundamental concepts......more

This book features high-quality research papers presented at the Third International Conference on Data Science and Big ......more

This open access book presents the mathematical methods for huge data and network analysis. The automotive industry has ......more

This is a thoroughly revised and expanded third edition of a successful university textbook that provides a broad introd......more

This is a thoroughly revised and expanded third edition of a successful university textbook that provides a broad introd......more

This book introduces the basic concepts of set theory, measure theory, the axiomatic theory of probability, random varia......more

Aimed at all those interested in analysing soccer data, be they fans, gamblers, coaches, sports scientists, or data scie......more

Aimed at all those interested in analysing soccer data, be they fans, gamblers, coaches, sports scientists, or data scie......more

Comprehensive coverage of matrix algebra for data science and statistical theory Over 100 pages of additional material a......more

This 2-volume set CCIS 2014 and CCIS 2015 constitutes the post-conference proceedings of the First International Confere......more

Events between which we have no epistemic reason to discriminate have equal epistemic probabilities. Bertrand’s chord pa......more

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An easy-to-understand guide to modelling productivity and efficiency using modern statistical tools. Introduces the fund......more

Ecological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists......more

Every finance professional wants and needs a competitive edge. A firm foundation in advanced mathematics can translate i......more

Large numbers of studies of the KdV equation have appeared since the pioneering paper by Gardner, Greene, Kruskal, and M......more

This book constitutes the refereed proceedings of the 4th International Conference on Dynamic Data Driven Applications S......more

The emergence of data science, in recent decades, has magnified the need for efficient methodology for analyzing data an......more

This book addresses the interplay between stochastic processes and partial differential equations. More specifically, it......more

This book covers selected papers presented at the 2nd International Conference on Computing, IoT and Data Analytics (ICC......more

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulat......more

This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in contin......more

A fast-food chain once tried to compete with McDonald’s quarter-pounder by introducing a third-pound hamburger--only for......more

This book provides robust analysis and synthesis tools for Markovian jump systems in the finite-time domain with specifi......more

A long-overdue guide on how to use statistics to bring clarity, not confusion, to policy work. Statistics are an essenti......more

The book deals with basic statistics which are used by applied and empirical research workers in the field of engineerin......more

Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two......more

This book deals with the exciting, seminal topic of Online Machine Learning (OML). The content is divided into three par......more

There are many unsolved problems in the study of cancer screening: how to estimate key parameters involved in screening ......more

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This book offers the reader a journey through the counterintuitive nature of Brownian motion under confinement. Diffusio......more

Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to deve......more

Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and mor......more

This book is the fruit of a study involving Malian SMEs. It is the result of numerous stereotypes indicating that Africa......more

This book narrates the detailed review on stochastic behavior of repeated purchasers and made an attempt to compare expe......more

The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. I......more

Global simultaneous development is becoming more necessary as the cost of developing medical products continues to grow.......more

The book is a valuable compendium comprising several optimization applications-based case studies. Chapters are written ......more

This edited volume comprises invited contributions from world-renowned researchers in the subject of stochastic control ......more

Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of la......more

This book contains examples of topics linking math and social justice and addresses both goals. There is a broad range o......more

Written by experts that include originators of some key ideas, chapters in the Handbook of Multiple Testing cover multip......more

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniqu......more

Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and med......more

Confidence Intervals for Discrete Data in Clinical Research is designed as a toolbox for biomedical researchers. Analysi......more

Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, incl......more