Water Resources ResearchAccurate estimation of terrestrial evapotranspiration (ET) is vital for understanding global water and energy cycles. However, current global ET estimations are not well constrained.
Donghui Xu +6 more
doaj +1 more source
Generalized maximum entropy (GME) estimator: formulation and a monte carlo study [PDF]
The origin of entropy dates back to 19th century. In 1948, the entropy concept as a measure of uncertainty was developed by Shannon. A decade after in 1957, Jaynes formulated Shannon’s entropy as a method for estimation and inference particularly for ill-
Eruygur, H. Ozan
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Universal expressions of population change by the Price equation: Natural selection, information, and maximum entropy production. [PDF]
Ecol Evol, 2017 Frank SA.
europepmc +1 more source
Self-assembled wiggling nano-structures and the principle of maximum entropy production. [PDF]
Sci Rep, 2015 Belkin A, Hubler A, Bezryadin A.
europepmc +1 more source
Volatility models with innovations from new maximum entropy densities at work [PDF]
Generalized autoregressive conditional heteroskedasticity (GARCH) processes have become very popular as models for financial return data because they are able to capture volatility clustering as well as leptokurtic unconditional distributions which ...
Herrmann, Klaus +2 more
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ESTIMATING NON-PARAMETRIC AND PARAMETRIC TRANSFORMATION FUNCTIONS FROM SURVEY DATA: AN APPLICATION OF MINIMUM CROSS-ENTROPY [PDF]
A model of a (convex) technology of representative and non-representative firms in a heterogeneous sector is presented in non-parametric and parametric versions. The heterogeneity is specified with error terms.
Hoveid, Oyvind
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Multicollinearity and maximum entropy leuven estimator [PDF]
Multicollinearity is a serious problem in applied regression analysis. Q. Paris (2001) introduced the MEL estimator to resolve the multicollinearity problem.
Sougata Poddar
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Estimating Disaggregate Production Functions: An Application to Northern Mexico [PDF]
This paper demonstrates a robust method for achieving disaggregation in the estimation of flexible-form farm-level multi-input production functions using minimally-specified data sets.
Msangi, Siwa, Howitt, Richard E.
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Nonparametric estimation of concave production technologies by entropic methods [PDF]
An econometric methodology is developed for nonparametric estimation of concave production technologies. The methodology, bases on the priciple of maximum likelihood, uses entropic distance and concvex programming techniques to estimate production ...
Alex Shapiro +4 more
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Estimation under Multicollinearity: Application of Restricted Liu and Maximum Entropy Estimators to the Portland Cement Dataset [PDF]
A high degree of multicollinearity among the explanatory variables severely impairs estimation of regression coefficients by the Ordinary Least Squares. Several methods have been suggested to ameliorate the deleterious effects of multicollinearity.
Mishra, SK
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