This book provides a captivating journey through the realms of classical and quantum systems as it unravels the profound influence that noise may have on their static and dynamic properties.
Sports analytics is on the rise, with top soccer clubs, bookmakers, and broadcasters all employing statisticians and data scientists to gain an edge over their competitors.
Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction.
This book provides a captivating journey through the realms of classical and quantum systems as it unravels the profound influence that noise may have on their static and dynamic properties.
This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.
This book formulates methods for modeling continuous and categorical correlated outcomes that extend the commonly used methods: generalized estimating equations (GEE) and linear mixed modeling.
This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.
Artificial Intelligence Assisted Structural Optimization explores the use of machine learning and correlation analysis within the forward design and inverse design frameworks to design and optimize lightweight load-bearing structures as well as mechanical metamaterials.
This book provides readers with a brief account of the history of Language Identification (LI) research and a survey of the features and methods most used in LI literature.
This book provides readers with a brief account of the history of Language Identification (LI) research and a survey of the features and methods most used in LI literature.
This textbook offers a complete one-semester course in probability, covering the essential topics necessary for further study in the areas of probability and statistics.
In diesem Lehrbuch wird der Umgang mit Messdaten und ihren Unsicherheiten in knapper und anschaulicher Weise auf der Grundlage aktueller, international standardisierter Methoden (GUM: ISO/IEC 98-3:2008) dargestellt.
In diesem Lehrbuch wird der Umgang mit Messdaten und ihren Unsicherheiten in knapper und anschaulicher Weise auf der Grundlage aktueller, international standardisierter Methoden (GUM: ISO/IEC 98-3:2008) dargestellt.
This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications.
The emergence of data science, in recent decades, has magnified the need for efficient methodology for analyzing data and highlighted the importance of statistical inference.
Dieses Lehrbuch bietet einen leichten Einstieg und verständlichen Gesamtüberblick über die quantitativen und qualitativen Methoden der Psychologie und angrenzender Sozialwissenschaften: alle wichtigen Verfahren, ihre Logik und Einsatzgebiete, Stärken und Schwachpunkte und auch neuere Entwicklungen.
This book addresses the origins, determinants and magnitude of the global problem of sedentary behaviour, along with concise yet in-depth solutions for tackling it.
Dieses Lehrbuch bietet einen leichten Einstieg und verständlichen Gesamtüberblick über die quantitativen und qualitativen Methoden der Psychologie und angrenzender Sozialwissenschaften: alle wichtigen Verfahren, ihre Logik und Einsatzgebiete, Stärken und Schwachpunkte und auch neuere Entwicklungen.
This book introduces the basic concepts of set theory, measure theory, the axiomatic theory of probability, random variables and multidimensional random variables, functions of random variables, convergence theorems, laws of large numbers, and fundamental inequalities.
Take your machine learning skills to the next level by mastering the best framework for uncertainty quantification - Conformal PredictionKey FeaturesMaster Conformal Prediction, a fast-growing ML framework, with Python applications.
Value of Information for Healthcare Decision-Making introduces the concept of Value of Information (VOI) use in health policy decision-making to determine the sensitivity of decisions to assumptions, and to prioritise and design future research.
This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors.
