著者：Noemi Kurt
出版社： Springer Berlin Heidelberg
発売日： 2025年06月17日
Dieses Lehrbuch führt in 14 einheitlich gegliederten Kapiteln in die Wahrscheinlichkeitstheorie und Statistik ein. Es richtet sich an Studierende der Informatik und technischer Fachrichtungen ab dem……続きを見る
Now in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate te……続きを見る
This book provides a compact and systematic overview of closure properties of heavy-tailed and related distributions, including closure under tail equivalence, convolution, finite mixing, maximum, m……続きを見る
This book focuses on target tracking and information fusion with random finite sets. Both principles and implementations have been addressed, with more weight placed on engineering implementations. ……続きを見る
M-STATISTICS
A comprehensive resource providing new statistical methodologies and demonstrating how new approaches work for applications
M-statistics introduces a new approach to statistical inferen……続きを見る
This work is a detailed description of different discrete and continuous univariate and multivariate distributions with applications in economics, different financial problems, and other scenarios i……続きを見る
Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class……続きを見る
The purpose of this book is twofold: first, it sets out to equip the reader with a sound understanding of the foundations of probability theory and stochastic processes, offering step-by-step guidan……続きを見る
著者：Themis Matsoukas
出版社： Springer International Publishing
発売日： 2019年05月08日
This book gives the definitive mathematical answer to what thermodynamics really is: a variational calculus applied to probability distributions. Extending Gibbs's notion of ensemble, the Author ima……続きを見る
著者：Noemi Kurt
出版社： Springer Berlin Heidelberg
発売日： 2020年02月04日
Dieses Lehrbuch führt in 16 einheitlich gegliederten Kapiteln in die Wahrscheinlichkeitstheorie und Statistik ein. Dabei sind die Lernziele und benötigten Vorkenntnisse jeweils angegeben und erleich……続きを見る
This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manne……続きを見る
