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maximum likelihood estimation (3) 3
entropy (2) 2
four-parameter exponential gamma distribution (2) 2
hydrology (2) 2
mathematical models (2) 2
methods of moments (2) 2
parameters (2) 2
precipitation frequency analysis (2) 2
principle of maximum entropy (2) 2
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2019, ISBN 9783038972228
Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial... 
hydrological risk analysis | modeling | water level | Poyang Lake basin | trend | composite multiscale sample entropy | flood frequency analysis | canopy flow | precipitation | water resources | complex systems | frequency analysis | optimization | combined forecast | neural network forecast | entropy spectral analysis time series analysis | environmental engineering | hydrometric network | sea surface temperature | kernel density estimation | robustness | turbulent flow | entropy production | connection entropy | flux concentration relation | turbulence | tropical rainfall | generalized gamma (GG) distribution | multi-events | El Niño | joint entropy | entropy weighting method | Anhui Province | changing environment | complexity | multiplicative cascades | Tsallis entropy | Hexi corridor | coherent structures | water resources vulnerability | uncertainty | variability | flow entropy | Hei River basin | fuzzy analytic hierarchy process | substitute | crop yield | conditional entropy production | entropy | flow duration curve | mean annual runoff | temperature | hydrometeorological extremes | resilience | Loess Plateau | information entropy | scaling | water distribution networks | cross entropy | randomness | forewarning model | entropy applications | quaternary catchment | spatio-temporal variability | probability distribution function | ant colony fuzzy clustering | radar | continuous probability distribution functions | Shannon entropy | informational entropy | information | confidence intervals | marginal entropy | rainfall forecast | entropy of information | streamflow | power laws | bootstrap aggregating | maximum entropy-copula method | spatial and dynamics characteristic | projection pursuit | set pair analysis | entropy theory | water resource carrying capacity | entropy parameter | precipitation frequency analysis | principle of maximum entropy | information theory | stochastic processes | network design | complement | cross elasticity | climacogram | methods of moments | hydrology | bagging | principle of maximum entropy (POME) | rainfall network | entropy ensemble filter | ensemble model simulation criterion | Lagrangian function | Beta-Lognormal model | cross-entropy minimization | ANN | configurational entropy | variation of information | statistical scaling | EEF method | water monitoring | maximum likelihood estimation | GB2 distribution | NDVI | four-parameter exponential gamma distribution | hydraulics | spatial optimization | Kolmogorov complexity | bootstrap neural networks | mutual information | accelerating genetic algorithm | groundwater depth | rainfall | tropical Pacific | water engineering | monthly streamflow forecasting | ENSO | nonlinear relation | Bayesian technique | non-point source pollution | Burg entropy | data-scarce | scaling laws | soil water content | arid region | land suitability evaluation | information transfer
eBook
Chemical Engineering Communications, ISSN 0098-6445, 08/2018, Volume 205, Issue 8, pp. 1105 - 1118
Bubble size distribution (BSD) is relevant to the design of gas-liquid systems, as it determines the interfacial area available in heat and mass transfer... 
J, Johnson distribution | BS, Birnbaum-Saunders distribution | N, normal distribution | LH4, four parameter log-hyperbolic distribution | RR, Rosin-Rammler distribution | Sauter mean diameter | G, gamma distribution | LL, log-logistic distribution | particle size distribution | UL3, upper limit distribution | BE, bi-exponential distribution | two-phase flow | BSD, bubble size distribution | G-L, gas-liquid | CDF, cumulative distribution function | PSD, particle size distribution | Rosin-Rammler distribution | LN, log-normal distribution | Nukiyama-Tanasawa distribution | probability density function | IG, inverse Gaussian distribution | CFD, computational fluid dynamics | PDF, probability density function | NT3, three-parameter Nukiyama-Tanasawa distribution | F, Frechet distribution | NT, two-parameter Nukiyama-Tanasawa distribution | Rosin–Rammler distribution | Nukiyama–Tanasawa distribution | NT, two-parameter Nukiyama–Tanasawa distribution | RR, Rosin–Rammler distribution | NT3, three-parameter Nukiyama–Tanasawa distribution | G–L, gas–liquid | BS, Birnbaum–Saunders distribution | ENGINEERING, CHEMICAL | ROSIN-RAMMLER | Size distribution | Parameters | Tanks | Aeration tanks | Water distribution | Rushton turbines | Rosin | Mass transfer | Probability density functions | Gas-liquid systems | Data transfer (computers) | Bubbles | Dissipation | Water tanks | Mathematical models
Journal Article
Book Chapter
Probabilistic Engineering Mechanics, ISSN 0266-8920, 04/2013, Volume 32, pp. 31 - 38
Journal Article
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