Results 161 to 170 of about 5,713 (196)

Semiparametric Regression Functionals

Journal of the American Statistical Association, 1995
Abstract A regression method is developed for a general class of functionals. A semiparametric linear model is adopted, and the regression parameters are estimated by maximizing a profiled nonparametric or empirical likelihood based on a local estimate of the conditional distribution function.
Michael Leblanc, John Crowley
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Root-N-Consistent Semiparametric Regression

Econometrica, 1988
Summary: One type of semiparametric regression on an \({\mathcal R}\) \(p\times {\mathcal R}\) q-valued random variable (X,Z) is \(\beta 'X+\theta (Z)\), where \(\beta\) and \(\theta\) (Z) are an unknown slope coefficient vector and function, and X is neither wholly dependent on Z nor necessarily independent of it.
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Semiparametric regression in Stata [PDF]

, 2013
The boxplot is probably the most commonly used tool to represent the distribution of the data and identify atypical observations in a univariate dataset. The problem with the standard boxplot is that as soon as asymmetry or tail heaviness appears, the percentage of values identified as atypical becomes excessive.
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A useful semiparametric regression for climatology

Communications in Statistics - Simulation and Computation, 2022
J. C. S. Vasconcelos, Gauss M. Cordeiro, Edwin M. M. Ortega, Denize P. dos Santos, Roberto Vila   +4 more
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Bayesian Semiparametric Seemingly Unrelated Regression

2002
Parametric seemingly unrelated regression (SUR) models are a common tool for multivariate regression analysis when error variables are reasonably correlated.
Stefan Lang 0003, Samson B. Adebayo, Ludwig Fahrmeir   +2 more
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Panel semiparametric quantile regression neural network for electricity consumption forecasting

Ecological Informatics, 2022
Xingcai Zhou, , Hongxia Wang
exaly  

Semiparametric Tail Index Regression

Journal of Business and Economic Statistics, 2022
Chenlei Leng, Rui Li, Jinhong You
exaly  

Semiparametric Regression

Journal of the American Statistical Association, 2006
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Semiparametric Regression with R

Journal of the American Statistical Association, 2022
Zixiao Wang, Yi Feng, Lin Liu
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Semiparametric Regression

Journal of Quality Technology, 2004
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