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Active Particles, Volume 4

Modeling and Simulation in Science, Engineering and Technology

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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Ilija Barukcic
Theoriae causalitatis principia mathematica

Dive into a treasure trove of knowledge with over 1,332 equations, 34 detailed figures, and 81 comprehensive tables. Perfect for students, researchers, and enthusiasts seeking clarity and precision. This …

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Hai-Dang Nguyen, George Yin, Chao Zhu
Hybrid Switching Diffusions

This thoroughly revised and expanded edition presents a comprehensive study of hybrid switching diffusion processes and their wide-ranging applications. These processes, which combine continuous dynamics …

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

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Biostatistics in Biopharmaceutical Research and Development

The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession. It provides learning experience on recent developments in stati…

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Nonlinear Dispersive Waves

Advances in Mathematical Fluid Mechanics

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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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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Numerical Geometry, Grid Generation and Scientific Computing

Lecture Notes in Computational Science and Engineering - Band 152

This volume presents a selection of papers presented at the 11th International Conference on Numerical Geometry, Grid Generation, and Scientific Computing held December 12-14, 2022 in memory of Sergei Ale…

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Stochastic Geophysical Fluid Dynamics

Oberwolfach Seminars - Band 55

This book is based on an Oberwolfach Seminar, and it intends to give an introduction and an overview to several directions of the recent research on stochastic geophysical fluid dynamics and to discuss di…

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Umberto Michelucci
Statistics for Scientists

This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application. It encourages readers to delve deeper into the …

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Wilfredo Urbina-Romero, Ricardo Rios
An Introduction to the Modern Martingale Theory and Applications

Texts in Applied Mathematics - Band 81

Martingale theory is a cornerstone of modern probability, offering a natural extension of the study of sums of independent random variables. Although its roots can be traced back to the work of Paul Lévy …

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Yury A. Kutoyants
Hidden Markov Processes and Adaptive Filtering

Springer Series in Statistics

This book is devoted to the problem of adaptive filtering for partially observed systems depending on unknown parameters. Adaptive filters are proposed for a wide variety of models: Gaussian and condition…

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More UK Success Stories in Industrial Mathematics

Mathematics in Industry - Band 42

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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Mike Nguyen
Regression Techniques for Data Analysis

This volume explores regression analysis as the backbone of statistical modeling, offering readers a versatile and robust framework for analyzing relationships in data. From foundational linear models to …

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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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Nan Chen
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

Synthesis Lectures on Mathematics & Statistics

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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Advances in Machine Learning and Big Data Analytics I

Springer Proceedings in Mathematics & Statistics - Band 441

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a referenc…

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Mathematics for Industrial Applications

Springer Proceedings in Mathematics & Statistics - Band 537

This book focuses on theories and applications of mathematics, statistics, and computing, where they intersect to address real-world problems in various industries. The papers contained within were presen…

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Hans-Michael Kaltenbach
Statistical Design and Analysis of Biological Experiments

Statistics for Biology and Health

This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers the most com…

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Unconventional Computation and Natural Computation

Lecture Notes in Computer Science - Band 16364

This book constitutes the proceedings of the 22nd International Conference on Unconventional Computation and Natural Computation, UCNC 2025, held in Nice, France, during September 1-5, 2025.The 24 full pa…

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