On differentiability of implicitly defined function in semi-parametric profile likelihood estimation
This is a preview. Log in through your library . Abstract In this paper, we study the differentiability of implicitly defined functions which we encounter in the profile likelihood estimation of ...
In this paper, parametric and empirical likelihood functions or surfaces are compared. In particular, first- and second-order expansions for log likelihood functions are developed in nonparametric and ...
Abstract: This research proposes a systematic neuro-transfer function (neuro-TF) parametric modeling with a compact embedded format. Introducing transfer functions significantly enhances the ...
ABSTRACT: We proposed a kind of doubly periodic Riemann boundary value problem on two parallel curves. By using the method of complex functions, we investigated the method for solving this kind of ...
Instituto de Ingeniería, Instituto de Investigaciones en Materiales,. Universidad Nacional Autónoma de México, México D.F., México. The purpose of this paper is to present a more rigorous derivation ...
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