Probability and statistics

This book is devoted to the art and science of web mining — showing how the world's largest information source can be turned into structured, research-ready data.

Dieses Lehrbuch fuhrt in die Thermodynamik ein, basierend auf mikroskopischen Grundlagen - den Eigenschaften und dem Zusammenwirken der Atome.

Dieses Lehrbuch fuhrt in die Thermodynamik ein, basierend auf mikroskopischen Grundlagen - den Eigenschaften und dem Zusammenwirken der Atome.

Dieses Lehrbuch führt auf prägnante und nachvollziehbare Art in die Abzähl- und Existenzprobleme der diskreten Mathematik ein.

Dieses Lehrbuch führt auf prägnante und nachvollziehbare Art in die Abzähl- und Existenzprobleme der diskreten Mathematik ein.

In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation.

In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation.

Engineering applications are rapidly evolving, becoming increasingly complex and data driven.

This book addresses the need for statistical knowledge and skills among health professionals and researchers by presenting statistical concepts, methods and models in a health and clinical context, making it distinct from traditional textbooks.

This textbook introduces readers to the principles of business process and supply chain simulation modeling using the AnyLogic multimethod simulation software.

The original contributions on Bayesian econometrics gathered in this book pay tribute to Sune Karlsson, celebrating his significant work in time series econometrics and its applications in macroeconomics and finance.

The original contributions on Bayesian econometrics gathered in this book pay tribute to Sune Karlsson, celebrating his significant work in time series econometrics and its applications in macroeconomics and finance.

Engineering applications are rapidly evolving, becoming increasingly complex and data driven.

This book focuses on the crucial theme of modern test development and analysis, specifically focusing on bridging the gap between theoretical frameworks and practical applications.

In clinical trials, monitoring accumulating data at regular intervals is essential for balancing ethical and financial considerations against scientific rigor.

This textbook offers a clear, unified introduction to nonequilibrium statistical mechanics.

This book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems, with a special focus on the emerging properties of heterogeneous agents that cannot be deduced from the characteristics of individual agents.

This book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems, with a special focus on the emerging properties of heterogeneous agents that cannot be deduced from the characteristics of individual agents.

This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes.

The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "e;Augmented Gaussian Process"e; methodology.

This book provides a comprehensive examination of the structure of approximate optimal policies in Markov decision processes (MDPs) with finite state spaces, as well as approximate optimal solutions for deterministic discrete-time optimal control problems.

The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "e;Augmented Gaussian Process"e; methodology.

This book uses R package, iForecast, to conduct financial economic time series forecasting with machine learning methods, especially the generation of dynamic forecasts out-of-sample.

This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes.

This book provides a comprehensive examination of the structure of approximate optimal policies in Markov decision processes (MDPs) with finite state spaces, as well as approximate optimal solutions for deterministic discrete-time optimal control problems.

This book uses R package, iForecast, to conduct financial economic time series forecasting with machine learning methods, especially the generation of dynamic forecasts out-of-sample.

This textbook offers a clear, unified introduction to nonequilibrium statistical mechanics.

In clinical trials, monitoring accumulating data at regular intervals is essential for balancing ethical and financial considerations against scientific rigor.

This textbook introduces readers to the principles of business process and supply chain simulation modeling using the AnyLogic multimethod simulation software.

This book addresses the need for statistical knowledge and skills among health professionals and researchers by presenting statistical concepts, methods and models in a health and clinical context, making it distinct from traditional textbooks.

This book focuses on the crucial theme of modern test development and analysis, specifically focusing on bridging the gap between theoretical frameworks and practical applications.

This book addresses the well-known capability and flexibility of classical and constructive semigroups (inherited from algebraic structures), to model, solve problems in extremely diverse situations, and develop interesting new algebraic ideas with many applications and connections to other areas of mathematics (logic, biomathematics, analysis, geometry, etc.

This book addresses the well-known capability and flexibility of classical and constructive semigroups (inherited from algebraic structures), to model, solve problems in extremely diverse situations, and develop interesting new algebraic ideas with many applications and connections to other areas of mathematics (logic, biomathematics, analysis, geometry, etc.

SPSS Basics, seventh edition, is the ideal introduction to the SPSS software for students undertaking their first statistics or quantitative research project.

This comprehensive textbook explores the fundamental intersection of business principles and analytical methodologies.

This book provides a self-contained lecture on a Malliavin calculus approach to asymptotic expansion and weak approximation of stochastic differential equations (SDEs),  along with numerical methods for computing parabolic partial differential equations (PDEs).

This textbook challenges the limitations of traditional rational decision-making, arguing that it often fails to address complex, real-world problems.

This book mainly provides readers with stochastic and statistical properties of conditional order statistics and conditional spacings as well as some stochastic properties of load-sharing systems.

This book mainly provides readers with stochastic and statistical properties of conditional order statistics and conditional spacings as well as some stochastic properties of load-sharing systems.

This book provides a self-contained lecture on a Malliavin calculus approach to asymptotic expansion and weak approximation of stochastic differential equations (SDEs),  along with numerical methods for computing parabolic partial differential equations (PDEs).

This volume on the latest developments in the theory and applications of time series analysis and forecasting comprises a selection of refereed papers presented at the 9th International Conference on Time Series and Forecasting, ITISE 2023, held in Gran Canaria, Spain, July 12-14, 2023.

This volume on the latest developments in the theory and applications of time series analysis and forecasting comprises a selection of refereed papers presented at the 9th International Conference on Time Series and Forecasting, ITISE 2023, held in Gran Canaria, Spain, July 12-14, 2023.

This book provides an up-to-date review of the general principles and techniques of confirmatory adaptive designs, a generalization of group sequential designs.

This textbook challenges the limitations of traditional rational decision-making, arguing that it often fails to address complex, real-world problems.

Essentials of Statistics for Research offers a working introduction to essential statistical methods through an accessible conceptual approach without excessive mathematical details.