Minimum distance regression model checking
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Publication:1417798
DOI10.1016/S0378-3758(02)00415-9zbMath1032.62036OpenAlexW1982944424MaRDI QIDQ1417798
Publication date: 6 January 2004
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0378-3758(02)00415-9
Nonparametric regression and quantile regression (62G08) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20)
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Cites Work
- Unnamed Item
- A consistent test of functional form via nonparametric estimation techniques
- Central limit theorem for integrated square error of multivariate nonparametric density estimators
- Testing the (parametric) null model hypothesis in (semiparametric) partial and generalized spline models
- Testing goodness-of-fit in regression via order selection criteria
- An efficient and robust adaptive estimator of location
- Minimum Hellinger distance estimates for parametric models
- Asymptotic normality of generalized functional estimators dependent on covariables
- Nonparametric statistics for stochastic processes. Estimation and prediction.
- Comparing nonparametric versus parametric regression fits
- Nonparametric model checks for regression
- Nonparametric smoothing and lack-of-fit tests
- Model checks for regression: an innovation process approach
- Pathologies of some minimum distance estimators
- The ``automatic robustness of minimum distance functionals
- Goodness-of-fit tests for nonlinear heteroscedastic regression models
- Estimation by the minimum distance method
- The Minimum Distance Method
- Testing the Goodness of Fit of a Linear Model Via Nonparametric Regression Techniques
- Bootstrap Approximations in Model Checks for Regression
- Weak and strong uniform consistency of kernel regression estimates
- A Kolmogorov-Smirnov Type Statistic with Application to Test for Nonlinearity in Time Series
- Commonality of cusum, von Neumann and smoothing-based goodness-of-fit tests
- Estimation by the Minimum Distance Method in Nonparametric Stochastic Difference Equations