Results 141 to 150 of about 2,902,778 (234)

Bootstrap-based Bandwidth Selection for Semiparametric Generalized Regression Estimators [PDF]

This paper considers the problem of implementing semiparametric extremum estimators of a generalized regression model with an unknown link function. The class of estimator under consideration includes as special cases the semiparametric least-squares ...
Chuan Goh
core  

Semiparametric estimation for a class of time-inhomogenous diffusion processes [PDF]

, 2009
Copyright @ 2009 Institute of Statistical Science, Academia SinicaWe develop two likelihood-based approaches to semiparametrically estimate a class of time-inhomogeneous diffusion processes: log penalized splines (P-splines) and the local log-linear ...
Li, M, Wang, H, Yu, K, Yu, Y
core  

Semiparametric regression on cumulative incidence function with interval-censored competing risks data and missing event types. [PDF]

Biostatistics, 2022
Park J, Bakoyannis G, Zhang Y, Yiannoutsos CT.   +3 more
europepmc   +1 more source

Treatment Effect Heterogeneity of Farmers Participating in Cooperatives

Journal of Agricultural Economics, Volume 77, Issue 1, Page 94-106, February 2026.
ABSTRACT Despite the many studies providing evidence of the benefits of cooperatives, most small farms and farm households, particularly in transition economies, do not participate in them. This study analyses the effect of cooperative activity on farm performance using a large‐scale farm survey conducted in Armenia. In addition, it addresses the issue
Drini Imami, Orjon Xhoxhi, Davit Babayan, Thomas Herzfeld, Rustam Rakhmetov   +4 more
wiley   +1 more source

Parametric and Semi-parametric Estimations of the Return to Schooling in South Africa [PDF]

This paper estimates return to schooling for african and coloured women in South Africa. It compares parametric and semiparametric estimates of the sample selection model for the case of return to schooling.
Claudia Sanhueza, Sonia Bhalotra
core  

Penalized variable selection procedure for Cox models with semiparametric relative risk

, 2010
We study the Cox models with semiparametric relative risk, which can be partially linear with one nonparametric component, or multiple additive or nonadditive nonparametric components.
Du, Pang, Liang, Hua, Ma, Shuangge
core   +1 more source

Estimating equivalence scales and non-food needs in Egypt: Parametric and semiparametric regression modeling. [PDF]

PLoS One, 2021
Awwad FA, Abdel-Rahman S, Abonazel MR.
europepmc   +1 more source

Endogeneity Corrections in Binary Outcome Models With Nonlinear Transformations: Identification and Inference

Oxford Bulletin of Economics and Statistics, Volume 88, Issue 1, Page 45-56, February 2026.
ABSTRACT For binary outcome models, an endogeneity correction based on nonlinear rank‐based transformations is proposed. Identification without external instruments is achieved under one of two assumptions: Either the endogenous regressor is a nonlinear function of one component of the error term, conditional on the exogenous regressors, or the ...
Alexander Mayer, Dominik Wied
wiley   +1 more source

Searching for an Environmental Kuznets Curve in Carbon Dioxide Pollutant in Latin American Countries [PDF]

This study utilized a semiparametric panel model to estimate environmental Kuznets curves (EKC) for carbon dioxide (CO2) in 15 Latin American countries, using hitherto unused data on forestry acreage in each country.
Bhattarai, Keshav, Paudel, Krishna P., Poudel, Biswo N.   +2 more
core   +1 more source

Feasible robust Liu estimator to combat outliers and multicollinearity effects in restricted semiparametric regression mode

AIMS Mathematics
Regression analysis frequently encounters two issues: multicollinearity among the explanatory variables, and the existence of outliers in the data set.
W. B. Altukhaes, M. Roozbeh, N. A. Mohamed   +2 more
doaj   +1 more source