Results 31 to 40 of about 45,340 (210)
Characterization of the asymptotic distribution of semiparametric M-estimators [PDF]
, 2010 This paper develops a concrete formula for the asymptotic distribution of two-step, possibly non-smooth semiparametric M-estimators under general misspecification.
Ichimura, H, Lee, S
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Wavelet Threshold Estimator of Semiparametric Regression Function with Correlated Errors
پژوهشهای ریاضی, 2022 Wavelet analysis is one of the useful techniques in mathematics which is used much in statistics science recently. In this paper, in addition to introduce the wavelet transformation, the wavelet threshold estimation of semiparametric regression model ...
Mahmoud Afshari +2 more
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E-Jurnal Matematika, 2017 Semiparametric regression is a regression model that includes parametric components and nonparametric components in a model. The regression model in this research is truncated spline semiparametric regression with case studies of patients with Dengue ...
NI WAYAN MERRY NIRMALA YANI +2 more
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Endogeneity in nonparametric and semiparametric regression models [PDF]
, 2001 This paper considers the nonparametric and semiparametric methods for estimating regression models with continuous endogenous regressors. We list a number of different generalizations of the linear structural equation model, and discuss how two common ...
Blundell, R., Powell, J.L.
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International Journal for Re-Views in Empirical Economics, 2019 This paper aims to replicate the semiparametric Value-At-Risk model by Dias (2014) and to test its legitimacy. The study confirms the superiority of semiparametric estimation over classical methods such as mixture normal and Student-t approximations in ...
Jiahua Xu
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Radar Target Recognition Based on Semiparametric Density Estimation of SLC
Leida xuebao, 2012 In order to solve the problem of the decline of accuracy when using the nonparametric method—Stochastic Learning of the Cumulative (SLC) to estimate the density of High-Resolution Range Profile (HRRP) in radar target recognition under the condition that ...
Cui Shan-shan +2 more
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A More Accurate Estimation of Semiparametric Logistic Regression
Mathematics, 2021 Growing interest in genomics research has called for new semiparametric models based on kernel machine regression for modeling health outcomes. Models containing redundant predictors often show unsatisfactory prediction performance.
Xia Zheng +3 more
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A Combined Truncated Spline and Kernel Semiparametric Path Model Development
Cauchy: Jurnal Matematika Murni dan AplikasiSemiparametric path analysis is a combination of parametric and nonparametric path analysis performed when the linearity assumption in some relationships is not met.
Usriatur Rohma +3 more
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Journal of Agricultural and Resource Economics, 2013 This study estimates off-farm labor supply from farm operators and their spouses using two different estimation procedures and data from the 2006 Agricultural Resource Management Survey.
Mahesh Pandit +2 more
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Nonparametric and semiparametric estimation with discrete regressors [PDF]
, 1994 This paper presents and discusses procedures for estimating regression curves when regressors are discrete and applies them to semiparametric inference problems.
Delgado, Miguel A., Mora, Juan
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