Since the pioneering work of Shannon in the late 1940‎'‎s on the development of the theory of entropy and the landmark contributions of Jaynes a decade later leading to the development of the principle of maximum entropy ‎(‎POME‎)‎‎,‎ the concept of entropy has been increasingly applied in a wide spectrum of areas‎,‎ including chemistry‎,‎ electronics and communications engineering‎,‎ data acquisition and storage and retreival‎,‎ data monitoring network design‎,‎ ecology‎,‎ economics‎,‎ environmental engineering‎,‎ earth sciences‎,‎ fluid mechanics‎,‎ genetics‎,‎ geology‎,‎ geomorphology‎,‎ geophysics‎,‎ geotechnical engineering‎,‎ hydraulics‎,‎ hydrology‎,‎ image processing‎,‎ management sciences‎,‎ operations research‎,‎ pattern recognition and identification‎,‎ photogrammetry‎,‎ psychology‎,‎ physics and quantum mechanics‎,‎ reliability analysis‎,‎ reservoir engineering‎,‎ statistical mechanics‎,‎ thermodynamics‎,‎ topology‎,‎ transportation engineering‎,‎ turbulence modeling‎,‎ and so on‎.‎ New areas finding application of entropy have since continued to unfold‎.‎ The entropy concept is indeed versatile and its applicability widespread‎.‎In the area of hydrology and water resources‎,‎ a range of applications of entropy have been reported during the past three decades or so‎.‎ This book focuses on parameter estimation using entropy for a number of distributions frequently used in hydrology‎.‎ In the entropy‎-based parameter estimation the distribution parameters are expressed in terms of the given information‎,‎ called constraints‎.‎ Thus‎,‎ the method lends itself to a physical interpretation of the parameters‎.‎ Because the information to be specified usually constitutes sufficient statistics for the distribution under consideration‎,‎ the entropy method provides a quantitative way to express the information contained in the distribution‎.‎

• Author‎:‎ Singh‎,‎ V‎.‎P‎.‎
• Publisher‎:‎ Springer
• ISBN‎:‎ 9780792352242