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Franz Kronthaler
Statistics Applied with the R Commander

This book shows you how to analyze data sets systematically and to use the R Commander to extract information from data almost effortlessly. Both are (not) an art!The statistical methods are presented and…

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Matthew R. Schofield, George A. F. Seber
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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Ronald T. Kneusel
Numbers and Computers

Computers are, fundamentally, number manipulators. Therefore, developers, engineers, and scientists must understand how computers represent and operate on numbers.The revised and updated third edition of …

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Yury A. Kutoyants
Introduction to the Statistics of Poisson Processes and Applications

This book covers an extensive class of models involving inhomogeneous Poisson processes and deals with their identification, i.e. the solution of certain estimation or hypothesis testing problems based on…

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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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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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Ismaël Castillo
Bayesian Nonparametric Statistics

This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, including deep neural networks, high-dimensional models and…

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Peter Oswald, Michael Griebel
Hilbert Space Splittings and Iterative Methods

This book is about the theory of so-called Schwarz methods for solving variational problems in a Hilbert space V arising from linear equations and their associated quadratic minimization problems. Schwarz…

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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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Andrea Pascucci
Probability Theory I

This book provides a concise yet rigorous introduction to probability theory. Among the possible approaches to the subject, the most modern approach based on measure theory has been chosen: although it re…

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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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Data Analytics for Management, Banking and Finance

This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It focuses on how combining expertise from interdisciplinar…

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Deborah J Rumsey
Probability For Dummies

Increase your odds of conquering probabilityYou've got a very, very good chance of becoming a probability wiz, thanks to Probability For Dummies. This easy-to-follow guide teaches you to calculate the lik…

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Abdelhamid Hassairi
Riesz Probability Distributions

This book is a useful overview of results in multivariate probability distributions and multivariate analysis as well as a reference to harmonic analysis on symmetric cones adapted to the needs of researc…

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Ewaryst Rafaj¿owicz
Optimal Input Signals for Parameter Estimation

The aim of this book is to prove an overview of classic results on optimal experiment design for estimating parameters of a regression function, and to indicate how to use them for sensors¿ allocation pro…

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Field Cady
The Data Science Handbook

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields.Becoming a data scientist is hard. The job focuses on mathematical tools…

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Statistics in Precision Health

This book discusses statistical methods and their innovative applications in precision health. It serves as a valuable resource to foster the development of this growing field within the context of the bi…

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Viacheslav Karmalita
Stochastic Dynamics of Economic Cycles

This book exposes the theory under the phenomenon of economic cycles and provides mathematical tools for their quantitative description. The approach allows to provide the stochastic description of the in…

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