Probability and statistics

Information usually comes in pieces, from different sources.

An exposition of the interplay between the modelling of dynamic systems and the design of feedback controllers based on these models is the main goal of this book.

In summary, Bayesian methods are already seen by many as an essential tool to aid in formal chronology building in archaeology.

This book examines Florence Nightingale David's life, contributions, and relationships throughout her life, as well as her subsequent legacy.

This book examines biomass mixture modeling and optimization.

This volume on the latest developments in statistical modelling is a collection of refereed papers presented at the 38th International Workshop on Statistical Modelling, IWSM 2024, held from 14 to 19 July 2024 in Durham, UK.

This volume features a collection of peer-reviewed contributions from the biannual conference organized by the Mexican Statistical Society, held in Cuernavaca, Mexico, from September 27-29, 2023.

This book provides a novel and unifying perspective on the structural properties of fair solutions in optimization formulations.

The two-volume set LNBIP 518 and 519 constitutes the refereed post-conference proceedings of the 25th International Conference on Enterprise Information Systems, ICEIS 2023, which was held in Prague, Czech Republic, during April 2023.

This book compares the population history of Japan, Korea, Taiwan, and China to understand such emergent changes as extremely low fertility in Korea and Taiwan, compressed urbanization and a massive diaspora from Korea, early population aging relative to economic development in China, and changing patterns of cross-border migration in the region.

This book does not focus solely on asymptotic extreme value distributions.

This book is concerned with the extent to which childhood stress and trauma lead in relative maturity to major depression (MDD) and post-traumatic stress disorder (PTSD).

This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008.

This book presents data-driven algorithms used in the context of wind farm modelling and exploits their relation with concepts from non-linear dynamical system theory.

This book is about the choices that researchers can make when building knowledge in social and behavioural spaces.

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 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 textbook presents some basic stochastic processes, mainly Markov processes.

This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives.

This textbook introduces the fundamental concepts and methods of statistical learning.

This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives.

This book is concerned with the extent to which childhood stress and trauma lead in relative maturity to major depression (MDD) and post-traumatic stress disorder (PTSD).

This book examines Florence Nightingale David's life, contributions, and relationships throughout her life, as well as her subsequent legacy.

The Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Academicians (IAASSE), and the Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and data science.

This comprehensive textbook equips students of economics and business, as well as industry professionals, with essential principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis.

This book is a comprehensive guide to methodologies for analyzing reliability and optimizing maintenance in complex systems, spanning from initial design to operational stages.

The second edition of this textbook provides a comprehensive and detailed overview of MATLAB and specific tools for creating experiments and analysing data in psychology.

This book is about the choices that researchers can make when building knowledge in social and behavioural spaces.

This book introduces readers to the financial markets, derivatives, structured products and how the products are modelled and implemented by practitioners.

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).

How can we teach machine learning to identify causal patterns in data?

This volume provides a comprehensive survey that covers various modern methods used for detecting and estimating change points in time series and their models.

Forecasting from multi-equation models has very rarely been the focus in econometric literature.

This book introduces probabilistic modelling and explores its role in solving a broad spectrum of engineering problems that arise in Information Technology (IT).

This book is dedicated to Prof.

Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems.

Nonparametric statistics has probably become the leading methodology for researchers performing data analysis.

This book presents a comprehensive treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives.

The ultimate goal of machines is to help humans to solve problems.

Probabilistic Safety Assessment and Management is a collection of papers presented at the PSAM 7 - ESREL '04 Conference in June 2004.

Logic and Complexity looks at basic logic as it is used in Computer Science, and provides students with a logical approach to Complexity theory.

Limit theorems for stochastic processes are an important part of probability theory and mathematical statistics and one model that has attracted the attention of many researchers working in the area is that of limit theorems for randomly stopped stochastic processes.

Managing Cooperation in Supply Network Structures and Small- or Medium-sized Enterprises outlines different approaches to the analysis of the organisation of small- or medium-sized enterprises (SMEs).

The measurement of dependability attributes on real systems is a very time-consuming and costly affair, making analytical or simulation modeling the only viable solutions.

Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule).

Reliability theory is of fundamental importance for engineers and managers involved in the manufacture of high-quality products and the design of reliable systems.

There are plenty of challenging and interesting problems open for investigation in the field of switched systems.

Fatigue and Fracture Reliability Engineering is an attempt to present an integrated and unified approach to reliability determination of fatigue and fracture behaviour, incorporating probability, statistics and other related areas.

Software Reliability Assessment with OR Applications is a comprehensive guide to software reliability measurement, prediction, and control.