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Net radiation is a key component of the energy balance, whose estimation accuracy has an impact on energy flux estimates from satellite data. In typical remote sensing evapotranspiration (ET) algorithms, the outgoing shortwave and longwave components of ...
Ted W. Sammis +5 more
doaj +1 more source
Household food insecurity and cooking energy access in Nigeria: A panel data approach
Access to sources of cooking energy has potential impacts on food security, however, there is a paucity of information and empirical evidence on their linkages.
Adegbenga Emmanuel Adekoya +9 more
doaj +1 more source
COMPARISON OF ESTIMATES FOR DISPERSIVE EQUATIONS [PDF]
an expository note; 7 ...
Mitsuru Sugimoto, Michael Ruzhansky
openaire +3 more sources
Adjusted empirical likelihood with high-order precision [PDF]
Empirical likelihood is a popular nonparametric or semi-parametric statistical method with many nice statistical properties. Yet when the sample size is small, or the dimension of the accompanying estimating function is high, the application of the ...
Chen, Jiahua, Liu, Yukun
core +2 more sources
R Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses [PDF]
The R package multgee implements the local odds ratios generalized estimating equations (GEE) approach proposed by Touloumis, Agresti, and Kateri (2013), a GEE approach for correlated multinomial responses that circumvents theoretical and practical ...
Anestis Touloumis
semanticscholar +1 more source
Bounds on coverage probabilities of the empirical likelihood ratio confidence regions [PDF]
This paper studies the least upper bounds on coverage probabilities of the empirical likelihood ratio confidence regions based on estimating equations.
Tsao, Min
core +1 more source
An error estimate for matrix equations [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cao, Y, Petzold, L
openaire +4 more sources
Comparison of predictor approaches for longitudinal binary outcomes: application to anesthesiology data [PDF]
Longitudinal data with binary repeated responses are now widespread among clinical studies and standard statistical analysis methods have become inadequate in the answering of clinical hypotheses.
Anil Aktas Samur +2 more
doaj +2 more sources
plug in semiparametric estimating equations [PDF]
In parametric regression problems, estimation of the parameter of interest is typically achieved via the solution of a set of unbiased estimating equations. We are interested in problems where in addition to this parameter, the estimating equations consist of an unknown nuisance function which does not depend on the parameter.
Gutierrez, Roberto G. +1 more
openaire +3 more sources
Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data
This paper develops a penalized exponentially tilted (ET) likelihood to simultaneously estimate unknown parameters and select variables for growing dimensional models with missing response at random.
Xiaoming Sha +2 more
doaj +1 more source

