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Asymptotic behavior of robust estimators in partially linear models with missing responses: The effect of estimating the missing probability on the simplified marginal estimators
(Springer, 2011-11)
In this paper, we consider a semiparametric partially linear regression model where missing data occur in the response. We derive the asymptotic behavior of the robust estimators for the regression parameter and of the ...
Estimation of a measure of local correlation for independent samples and time series data
(Springer (India)Calcutta, 2013)
Different from measures of global dependence, measures of local dependence
evaluate the dependence along the support of the variables. The aim of
this paper is to study a measure of local dependence proposed by Bairamov,
Kotz ...
Robust estimation in partially linear errors-in-variables models
(Elsevier Science, 2017-02)
In many applications of regression analysis, there are covariates that are measured with errors. A robust family of estimators of the parametric and nonparametric components of a structural partially linear errors-in-variables ...
Bases for alternative nonparametric mincer function
(Universidad de Cuenca, 2017-01)
This work undertakes a nonparametric regression in order to assess the viability of this technique in modeling
a simplified Mincer Function of earnings applied to the NBA players’ wages. The main advantages of using ...
Influence diagnostics for elliptical semiparametric mixed models
(SAGE PUBLICATIONS LTD, 2012)
In this paper we extend semiparametric mixed linear models with normal errors to elliptical errors in order to permit distributions with heavier and lighter tails than the normal ones. Penalized likelihood equations are ...
Identification and estimation of preference distributions when voters are ideological
(Oxford Univ Press, 2017-07)
This article studies the non-parametric identification and estimation of voters' preferences when voters are ideological. We establish that voter preference distributions and other parameters of interest can be identified ...
MODELING PERCENTAGE OF POOR PEOPLE IN INDONESIA USING KERNEL AND FOURIER SERIES MIXED ESTIMATOR IN NONPARAMETRIC REGRESSIONMODELING PERCENTAGE OF POOR PEOPLE IN INDONESIA USING KERNEL AND FOURIER SERIES MIXED ESTIMATOR IN NONPARAMETRIC REGRESSION
(Departamento de Matemática Aplicada. Facultad de Matemática y Computación. Universidad de La Habana, 2023)
The Revealed Social Welfare Function: USA X BrazilThe Revealed Social Welfare Function: USA X Brazil
(Sociedade Brasileira de Econometria, 2008)
Um novo estimador exponencial por partes da curva de sobrevivência: um estudo comparativo
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2006-05-31)
In this work we revise the main basic concepts on survival analysis and reliability.
We present the most known nonparametric estimators of the survival function in the
presence of censured data. Their estimates are ...