Probability and statistics

This textbook investigates in detail the methods for stochastic dynamic response and stability analyses of nonlinear systems (especially ships and ocean engineering systems), elucidating the advantages and disadvantages of each of the methods (the statistical linearization method, the perturbation method, the Monte Carlo Simulation method, the numerical path integration method, the global geometric method and the first passage theory).

This book presents peer-reviewed short papers on methodological and applied statistical research presented at the Italian Statistical Society’s international conference on “Statistics for Innovation”, SIS 2025, held in Genoa, Italy, June 16-18, 2025.

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The morphology of spatially stuctured materials is a rapidly growing field of research at the interface of statistical physics, applied mathematics and materials science.

This book deals with the theory of one- and two-parameter martingale Hardy spaces and their use in Fourier analysis, and gives a summary of the latest results in this field.

This book contains 26 papers describing research in the do-main of Artificial Intelligence in Medicine.

Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook.

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These Notes grew from my research in evolutionary biology, specifically on the theory of evolutionarily stable strategies (ESS theory), over the past ten years.

The aim of this book is to give an up to date account of the most commonly uses statisti- cal models for categorical data.

This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology.

Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook.

Presenting the first definitive study of the subject, this Handbook of Biometric Anti-Spoofing reviews the state of the art in covert attacks against biometric systems and in deriving countermeasures to these attacks.

Radio astronomy is irreversibly moving towards the exabyte era.

This book provides a novel perspective on human migration dynamics by examining it through the lenses of complex systems science and philosophy of science.

Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages.

The lectures that four authors present in this volume investigate core topics related to the accelerated expansion of the Universe.

Over the past decades, although stochastic system control has been studied intensively within the field of control engineering, all the modelling and control strategies developed so far have concentrated on the performance of one or two output properties of the system.

Stochastic mechanics is a theory that holds great promise in resolving the mathematical and interpretational issues encountered in the canonical and path integral formulations of quantum theories.

geschlossene Darstellung, welche die Plankostenrechnung in den Rahmen der kosten­ rechnerischen Entwicklung stellt und ihren Aufbau als ein in sich geschlossenes Sy­ stem wiedergibt.

This book offers a gentle yet rigorous introduction to probability theory, with a special focus on finite probability spaces.

This work summarizes the theoretical and algorithmic basis of optimized pr- abilistic advising.

This book offers an easily accessible and comprehensive guide to the entire market research process, from asking market research questions to collecting and analyzing data by means of quantitative methods.

Synergetic Economics presents a new advance in analytical economics.

In today's manufacturing environment, managing inventories is one of the basic concerns of enterprises dealing with materials according to their activities.

This book of peer-reviewed short papers on methodological and applied statistics and demography is the fourth of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024.

This book offers a comprehensive overview of statistical methodology for modelling and evaluating spatial variables useful in a variety of applications.

Large numbers of studies of the KdV equation have appeared since the pioneering paper by Gardner, Greene, Kruskal, and Miura in 1967.

Monte Carlo Methods are among the most used, and useful, computational tools available today.

This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using R object-oriented programming language and RStudio integrated development environment (IDE).

The beauty of a knotty oak tree is different from that of a lovely flower.

This book deals with extreme value theory for univariate and multivariate time series models characterized by power-law tails.

An important novel menu for Survival Analysis entitled Accelerated Failure Time (AFT) models has been published by IBM (international Businesss Machines) in its SPSS statistical software update of 2023.

This book includes high-quality papers presented at 18th International Conference on Information Technology and Applications (ICITA 2024), held in Sydney, Australia, during October 17-19, 2024.

This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.

Callable mortgage bonds are utilized by individuals and companies to finance the purchase of real estate, and this asset class therefore plays a crucial role in modern society.

As a hospital physician it is impossible to escape the notion that the difficult medical problems one encounters are also being confronted by other' physicians throughout the world.

This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis.

This book provides some recent advance in the study of stochastic nonlinear Schrodinger equations and their numerical approximations, including the well-posedness, ergodicity, symplecticity and multi-symplecticity.

This book addresses the challenge of presenting biostatistics to medical and health science audiences coherently.