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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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On bootstrap consistency of MAVE for single index models
Computational Statistics & Data Analysis, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hong-Fan Zhang +2 more
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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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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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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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Latent single-index models for ordinal data
Statistics and Computing, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhiyong Chen, Hai-Bin Wang
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ERROR VARIANCE ESTIMATION FOR THE SINGLE‐INDEX MODEL
Australian & New Zealand Journal of Statistics, 2010SummarySingle‐index models provide one way of reducing the dimension in regression analysis. The statistical literature has focused mainly on estimating the index coefficients, the mean function, and their asymptotic properties. For accurate statistical inference it is equally important to estimate the error variance of these models.
Kulasekera, K. B., Lin, Wei
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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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Homogeneity Pursuit in Single Index Models based Panel Data Analysis
Journal of Business and Economic Statistics, 2021Heng Lian, Xinghao Qiao
exaly