Probability and statistics

This student-oriented manual describes how to use R in college science and mathematics courses.

Mathematicians Playing Games explores a wide variety of popular mathematical games, including their historical beginnings and the mathematical theories that underpin them.

Mathematicians Playing Games explores a wide variety of popular mathematical games, including their historical beginnings and the mathematical theories that underpin them.

This volume gathers selected, peer-reviewed works presented at the 7th International Conference on Optimization, Simulation and Control, ICOSC 2022, held at the National University of Mongolia, Ulaanbaatar, June 20-22, 2022.

This volume teaches readers how to sort through the vast mountain of climate and environmental science data to extract actionable insights.

Over the course of his distinguished career, Robert Strichartz (1943-2021) had a substantial impact on the field of analysis with his deep, original results in classical harmonic, functional, and spectral analysis, and in the newly developed analysis on fractals.

After developing fuzzy set theory, many contributors focused their research on the extension of fuzzy sets and their computational methodologies, strengthening modern science and technology.

This book presents a unified description of binding equilibrium for a wide variety of systems focusing on acid-base and coordination chemistry, adsorption at interfaces, and electron binding in electrochemistry.

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications.

Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental design, regression, optimization, parameter estimation, inverse modeling, risk analysis, decision-making, and sustainability assessment methods to energy processes and systems.

This book presents contemporary issues and challenges in finance and risk management in a time of rapid transformation due to technological advancements.

This book presents contemporary issues and challenges in finance and risk management in a time of rapid transformation due to technological advancements.

It has become difficult to ignore the analytics movement within the NFL.

The present book develops the mathematical and numerical analysis of linear, elliptic and parabolic partial differential equations (PDEs) with coefficients whose logarithms are modelled as Gaussian random fields (GRFs), in polygonal and polyhedral physical domains.

Drug development is a strictly regulated area.

Drug development is a strictly regulated area.

Those who work in allied health professions and education aim to make people's lives better.

Over the course of his distinguished career, Robert Strichartz (1943-2021) had a substantial impact on the field of analysis with his deep, original results in classical harmonic, functional, and spectral analysis, and in the newly developed analysis on fractals.

After developing fuzzy set theory, many contributors focused their research on the extension of fuzzy sets and their computational methodologies, strengthening modern science and technology.

Those who work in allied health professions and education aim to make people's lives better.

The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand.

The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand.

Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear models, which includes regression and ANOVA as pillars of applied statistics, to achieve a more comprehensive treatment of the analysis of spatially autocorrelated data.

This book presents a unified description of binding equilibrium for a wide variety of systems focusing on acid-base and coordination chemistry, adsorption at interfaces, and electron binding in electrochemistry.

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications.

Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental design, regression, optimization, parameter estimation, inverse modeling, risk analysis, decision-making, and sustainability assessment methods to energy processes and systems.

An Advanced Course in Probability and Stochastic Processes provides a modern and rigorous treatment of probability theory and stochastic processes at an upper undergraduate and graduate level.

This volume gathers selected, peer-reviewed works presented at the 7th International Conference on Optimization, Simulation and Control, ICOSC 2022, held at the National University of Mongolia, Ulaanbaatar, June 20-22, 2022.

This volume teaches readers how to sort through the vast mountain of climate and environmental science data to extract actionable insights.

This book reviews and synthesizes studies on local and regional occupancy and abundance of Neotropical mammals from central Mexico to South America.

This book reviews and synthesizes studies on local and regional occupancy and abundance of Neotropical mammals from central Mexico to South America.

This book reflects general trends in the study of geometric aspects of functional analysis, understood in a broad sense.

Virtual Reality (VR) is a rapidly maturing technology that offers new and unique solutions to otherwise intractable problems in the study of cognition, behavior and neuroscience.

Delve into the intricacies of the human mind with this engaging and insightful guide to how the brain works.

Delve into the intricacies of the human mind with this engaging and insightful guide to how the brain works.

In this book, various numerical methods are discussed in a comprehensive way.

Petri nets model concurrent and distributed systems where active components communicate through the production and absorption of various kinds of resources.

This book reflects general trends in the study of geometric aspects of functional analysis, understood in a broad sense.

Virtual Reality (VR) is a rapidly maturing technology that offers new and unique solutions to otherwise intractable problems in the study of cognition, behavior and neuroscience.

This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods.

This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods.

Discover the intricate nature of a company's production function and the comprehensive principles of planning operations in this book.

Data-driven science has become a major decision-making aid for the diagnosis and treatment of disease.

Data-driven science has become a major decision-making aid for the diagnosis and treatment of disease.

Discover the intricate nature of a company's production function and the comprehensive principles of planning operations in this book.

This book presents a comprehensive overview of Structural Equation Modeling and how it can be applied to address research issues in different disciplines.