A note on asymptotic linearity of -statistics in nonlinear models
Asunción Rubio, Jan Ámos Víšek (1996)
Kybernetika
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Displaying similar documents to “Strong consistency of regression function estimates”
A note on asymptotic linearity of -statistics in nonlinear models
Robust estimation in a linear regression model
Jana Jurečková (1980)
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Consistency of an estimate in linear regression with non-negative errors
Karel Zvára (1992)
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A note on the rate of convergence of local polynomial estimators in regression models
Friedrich Liese, Ingo Steinke (2001)
Kybernetika
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Local polynomials are used to construct estimators for the value of the regression function and the values of the derivatives in a general class of nonparametric regression models. The covariables are allowed to be random or non-random. Only asymptotic conditions on the average distribution of the covariables are used as smoothness of the experimental design. This smoothness condition is discussed in detail. The optimal stochastic rate of convergence of the estimators is established....
Adaptive estimation in linear regression model. II. Asymptotic normality
Jan Ámos Víšek (1992)
Kybernetika
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