Introduction -- Entropy theory -- Principle of maximum entropy -- Derivation of Pome-based distributions -- Multivariate probability distributions -- Principle of minimum cross-entropy -- Derivation of Pome-based distributions -- Parameter estimation -- Spatial entropy -- Inverse spatial entropy -- Entropy spectral analyses -- Minimum cross entropy spectral analysis -- Evaluation and design of sampling and measurement networks -- Selection of variables and models -- Neural networks -- System complexity
Summary
Entropy Theory and its Application in Environmental and Water Engineering introduces entropy theory for practical applications. The range of applications of entropy is constantly expanding and new areas finding a use for the theory are continually emerging. The applications of concepts and techniques vary across different subject areas and this book aims to relate them directly to problems of practical environmental and water science. Giving a thorough introduction to the use of entropy to measure the unpredictability in energy systems this book will add an essential statistical method
