Results 231 to 240 of about 1,326,096 (261)
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Biometrika, 2001
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Naik, Prasad A., Tsai, Chih-Ling
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Naik, Prasad A., Tsai, Chih-Ling
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Functional single-index quantile regression models
Statistics and Computing, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peijun Sang, Jiguo Cao
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1998
One of the most important tasks of applied econometrics and statistics is estimating a conditional mean function. For example, one may want to estimate the mean annual earnings of workers in a certain population as a function of observable characteristics such as level of education and experience in the workforce.
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One of the most important tasks of applied econometrics and statistics is estimating a conditional mean function. For example, one may want to estimate the mean annual earnings of workers in a certain population as a function of observable characteristics such as level of education and experience in the workforce.
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IEEE Transactions on Knowledge and Data Engineering, 2021
Agus Sudjianto +2 more
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Agus Sudjianto +2 more
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Estimation for the single-index models with random effects
Computational Statistics & Data Analysis, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pang, Zhen., Xue, Liugen.
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Nonlinear regression models with single‐index heteroscedasticity
Statistica Neerlandica, 2019We consider nonlinear heteroscedastic single‐index models where the mean function is a parametric nonlinear model and the variance function depends on a single‐index structure. We develop an efficient estimation method for the parameters in the mean function by using the weighted least squares estimation, and we propose a “delete‐one‐component ...
Jun Zhang +3 more
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Penalized LAD Regression for Single-index Models
Communications in Statistics - Simulation and Computation, 2014In this article, we consider the penalized LAD regression which deals with variable selection and estimation simultaneously for single-index models. The proposed estimator is robust and efficient with respect to heavy tailed errors or outliers in the response.
Hu Yang 0001, Jing Lv, Chaohui Guo
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The single-index hazards model
2010We first propose the single-index hazards model for right censored survival data. As an extension of the Cox model, this model allows nonparametric modeling of covariate effects in a parsimonious way via a single-index. In addition, the relative importance of covariates can be assessed via this model.
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