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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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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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Robert Hirsch
Analysis of Epidemiologic Data Using R

This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpr…

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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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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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Big Data Analytics and Knowledge Discovery

This book constitutes the proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2024, which too place in Naples, Italy, during August 26-28, 2024.The 16 ful…

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Algorithms and Computational Theory for Engineering Applications

This book goes deeply into the world of algorithms and computational theory and its astounding influence on numerous engineering areas. The book's carefully chosen content highlights the most recent studi…

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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…

lieferbar ab 13.8.2025.

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Hans-Jürgen Andreß, Jacques A. Hagenaars, Steffen Kühnel
Analyse von Tabellen und kategorialen Daten

Springer-Lehrbuch

Kategoriale Daten sind Variablen mit einer begrenzten Anzahl von Ausprägungen (Kategorien). Bei vielen Merkmalen, die in der Umfrageforschung und für amtliche Statistiken erhoben werden, handelt es sich u…

Erscheint bald

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Mathematics for Sustainable Industry

This volume gathers selected, peer-reviewed contributions presented at the 5th International Seminar on Mathematics in Industry -- ISMI2024, held on September 9-11, 2024 in Kuala Lumpur, Malaysia. Article…

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Séminaire de Probabilités LII

The last! This volume closes the Séminaire de Probabilités, a long and rich series that started in 1966 under the name Séminaire de Probabilités de Strasbourg. In addition to a tribute to our colleague Do…

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Recent Advances in the Message Passing Interface

This volume LNCS constitutes the refereed proceedings of 31st European MPI Users' Group Meeting, EuroMPI 2024, held in Perth, WA, Australia, during September 25-27, 2024.The 8 full papers presented here w…

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Nonlinear Dispersive Waves

This volume explores a number of exciting developments in the field of nonlinear dispersive waves with a particular focus on waves arising in the ocean. Chapters are based on talks given at the workshop ¿…

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Ronald Christensen
Log-Linear Models and Logistic Regression

This book examines statistical models for frequency data. The primary focus is on log-linear models for contingency tables but also includes extensive discussion of logistic regression. Topics such as log…

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Giacomo Ascione, Yuliya Mishura, Enrica Pirozzi
Fractional Deterministic and Stochastic Calculus

Fractional calculus has emerged as a powerful and effective mathematical tool in the study of several phenomena in science and engineering. This text addressed to researchers, graduate students, and pract…

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Mathematics of Public Health

This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in …

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Applied Algorithms

This book LNCS constitutes the refereed proceedings of the Second International Conference on Applied Algorithms, ICAA 2025, held in Kolkata, India, during January 8-10, 2025.The 26 full papers and 4 shor…

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Statistical Machine Learning for Engineering with Applications

This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design o…

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Dmitrii Legatiuk
Mathematical Modelling by Help of Category Theory

This monograph offers a novel structural perspective on the modelling of engineering problems, utilizing abstract mathematics in the form of category theory.Specifically, the book aims to enhance the unde…

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