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New Frontiers in Statistics and Data Science

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both t…

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Ronald T. Kneusel
Numbers and Computers

This textbook details the variety of number formats used by computers, thereby helping to ground readers in what can and cannot be represented accurately, especially by floating-point numbers.The book's f…

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Computing Technologies and Applied Mathematics

This proceedings volume convenes revised, selected works presented at the 3rd International Seminar on Computing Technologies and Applied Mathematics (CTAM2024), held at Komsomolsk-na-Amure State Universi…

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Andrea Bellavia
Statistical Methods for Environmental Mixtures

This book provides a comprehensive introduction to statistical approaches for the assessment of complex environmental exposures, such as pollutants and chemical mixtures, within the exposome framework. En…

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Giorgio Picci
An Introduction to Statistical Data Science

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data. Aime…

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Stochastic Geometry: Percolation, Tesselations, Gaussian Fields and Point Processes

An Introduction to Russo-Seymour-Welsh Theory.- 2. Random Tessellations - An Overview of Models.- 3. Gaussian Fields through Geometrical Properties.- 4. Complex Gaussian Zeros and Eigenvalues.- 5. Point P…

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Mircea D. Grigoriu
Numerical Methods for Extreme Responses of Dynamical Systems

This book constructs input finite dimensional (FD) models that are amendable for numerical calculations and provides accurate representations for responses of dynamical systems to these inputs, i.e., nume…

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George A. F. Seber, Matthew R. Schofield
Estimating Presence and Abundance of Closed Populations

This comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed populations. With the effect of climate change, and human territory invasion, we have see…

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Sinho Chewi, Jonathan Niles-Weed, Philippe Rigollet
Statistical Optimal Transport

This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning. It is primarily tailored for students and researcher…

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Nan Chen
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

This second edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools. Expanding upon the original book, the author covers …

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Active Particles, Volume 4

This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences.…

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Jochen Ziegenbalg
Algorithmik Eine universelle Methode im Überblick

Dieses essential zeigt aus einer allgemeinbildenden und allgemeinverständlichen Perspektive, wie universell und bedeutend die algorithmische Methode ist. Es beleuchtet dabei sowohl die historischen Anfäng…

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Raymond J. Spiteri, Kyle Klenk
Extreme-Scale Computing

Part 1 - Extreme Scientific Computing Software Management.- Chapter 1 Linux Command Line.- Chapter 2: Version Control and Repositories.- Chapter 3: Building Software.- Part 2 - Programming Patterns and Mo…

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More UK Success Stories in Industrial Mathematics

This volume highlights successful projects in which academic mathematicians in the United Kingdom got involved with solving problems in industry for which mathematics was essential. It contains a wide ran…

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Ronald W. Shonkwiler, Franklin Mendivil
Explorations in Monte Carlo Methods

Monte Carlo Methods are among the most used, and useful, computational tools available today. They provide efficient and practical algorithms to solve a wide range of scientific and engineering problems i…

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Statistical Modelling and Risk Analysis

This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional …

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Sören Bartels
Numerical Mathematics 3x9

This book provides an introduction to methods for practically solving mathematical problems, such as solving systems of linear equations, determining eigenvalues, approximating and integrating functions, …

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Gerhard Tutz
A Short Guide to Item Response Theory Models

Preface.- Introduction.- The Binary Rasch Model.- Extensions of the Rasch Model and Alternative Binary Models.- Ordinal Models.- Extended Ordinal Models Accounting for Response Styles.- The Thresholds Mod…

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Crowd Dynamics, Volume 4

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineeri…

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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics. It develops the foundations and details a num…

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