Probability and statistics

This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.

This book provides a concise point of reference for the most commonly used regression methods.

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This book presents important contributions to modern theories concerning the distribution theory applied to convex analysis (convex functions, functions of lower semicontinuity, the subdifferential of a convex function).

This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively.

This book is the second edition of Facet Theory and the Mapping Sentence: Evolving Philosophy, Use and Application (2014).

This highly-readable text provides grounds on how to plan and conduct animal experiments that can be reproduced by others.

Risk is the main source of uncertainty for investors, debtholders, corporate managers and other stakeholders.

This book helps students, researchers, and practicing engineers to understand the theoretical framework of control and system theory for discrete-time stochastic systems so that they can then apply its principles to their own stochastic control systems and to the solution of control, filtering, and realization problems for such systems.

This book focuses on information-geometric manifolds of structured data and models and related applied mathematics.

This book contains a selection of the best papers of the 31st Benelux Conference on Artificial Intelligence, BNAIC 2019, and 28th Belgian Dutch Machine Learning Conference, BENELEARN 2019, held in Brussels, Belgium in November 2019.

This brief presents a suite of computationally efficient methods for bounding trajectories of dynamical systems with multi-dimensional intervals, or 'boxes'.

Accessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization, computer science, operations research, management science, engineering and other applied areas interested in solving optimization problems.

This book provides, as simply as possible, sound foundations for an in-depth understanding of reliability engineering with regard to qualitative analysis, modelling, and probabilistic calculations of safety and production systems.

This book on counting statistics presents a novel copula-based approach to counting dependent random events.

This book provides a visual and intuitive coverage of the core theory of linear models.

This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models.

This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020.

The book outlines the processes of calculating and critically reviewing construction costs and times for clients and contractors in different project phases.

This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application.

This textbook provides a concise, clear, and rigorous presentation of the dynamics of linear systems that delivers the necessary tools for the analysis and design of mechanical/ structural systems, regardless of their complexity.

This book constitutes the refereed proceedings of the First International Workshop on Active Inference, IWAI 2020, co-located with ECML/PKDD 2020, held in Ghent, Belgium, in September 2020.

This proceedings book presents state-of-the-art developments in theory, methodology, and applications of network analysis across sociology, computational science, education research, literature studies, political science, international relations, social media research, and urban studies.

This advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical theory and offers hands-on support with their implementation.

This book shows how information theory, probability, statistics, mathematics and personal computers can be applied to the exploration of numbers and proportions in music.

This book introduces physics students to concepts and methods of finance.

This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range of research fields, including medicine, health sciences, biology, environmental science, engineering, physics, chemistry, computation, finance, economics, and social sciences.

This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively.

The monograph aims to present the recent scientific knowledge on body sensations, i.

This textbook is a practical yet in depth guide to cryptography and its principles and practices.

This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective.

This book provides an introduction to the theory and applications of point processes, both in time and in space.

This book provides structural reliability and design students with fundamental knowledge in structural reliability, as well as an overview of the latest developments in the field of reliability engineering.

MATRIX is Australia's international and residential mathematical research institute.

This book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical presentation.

This brief describes the basics of Riemannian optimization-optimization on Riemannian manifolds-introduces algorithms for Riemannian optimization problems, discusses the theoretical properties of these algorithms, and suggests possible applications of Riemannian optimization to problems in other fields.

This book shows the capabilities of Microsoft Excel in teaching marketing statistics effectively.

This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C.

This new, thoroughly revised and expanded 3rd edition of a classic gives a comprehensive coverage of modern probability in a single book.

Regression analysis of cause effect relationships is increasingly the core of medical and health research.

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This book presents the theory and methods of flexible and generalized uncertainty optimization.

Heterogeneity, or mixtures, are ubiquitous in genetics.

This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking.

This is a volume in memory of Vladas Sidoravicius who passed away in 2019.

This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management.

This book studies complex systems with elements represented by random variables.

This textbook introduces graduate students in education and policy research to data and statistical methods in state-level higher education policy analysis.

Random fields are a necessity when formulating stochastic continuum theories.

This edited collection brings together voices of the strongest thought leaders on diversity, equity and inclusion in the field of statistics and data science, with the goal of encouraging and steering the profession into the regular practice of inclusive and humanistic leadership.