Created to teach students many of the most important techniques used for constructing combinatorial designs, this is an ideal textbook for advanced undergraduate and graduate courses in combinatorial design theory.
Uniquely combining theory, application, and computing, this bookexplores the spectral approach to time series analysis The use of periodically correlated (or cyclostationary)processes has become increasingly popular in a range of researchareas such as meteorology, climate, communications, economics, andmachine diagnostics.
Performance optimization is vital in the design and operation of modern engineering systems, including communications, manufacturing, robotics, and logistics.
This book is intended to provoke, entertain, and inform by challenging the reader's ideas about randomness, providing first one and then another interpretation of what this elusive concept means.
In diesem essential steht die leichte Verständlichkeit statistischer Grundbegriffe im Vordergrund, ohne dabei die mathematische Korrektheit zu beeinträchtigen.
In diesem essential steht die leichte Verständlichkeit statistischer Grundbegriffe im Vordergrund, ohne dabei die mathematische Korrektheit zu beeinträchtigen.
This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer.
This book investigates the relationship between empirical reality and theoretical modelling in Earth sciences, focusing on how empirical experiments and theoretical models interact.
This concise textbook covers the full scope of an introductory course in modern probability theory, from elementary combinatorial methods to the central limit theorem, while maintaining mathematical rigor.
Dieses Lehrbuch wendet sich hauptsächlich an Studierende der Ingenieur- und Naturwissenschaften sowie der Informatik, aber auch an in der angewandten Praxis tätige Fachkräfte in diesen Disziplinen.
This Second Edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools.
This concise textbook covers the full scope of an introductory course in modern probability theory, from elementary combinatorial methods to the central limit theorem, while maintaining mathematical rigor.
This book investigates the relationship between empirical reality and theoretical modelling in Earth sciences, focusing on how empirical experiments and theoretical models interact.
This Second Edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools.
This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer.
