SEMI‐PARAMETRIC ANALYSIS OF COVARIANCE UNDER DEPENDENCE CONDITIONS WITHIN EACH GROUP
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Publication:3530173
DOI10.1111/j.1467-842X.2008.00510.xzbMath1145.62352MaRDI QIDQ3530173
Publication date: 15 October 2008
Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)
Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) Analysis of variance and covariance (ANOVA) (62J10)
Related Items (3)
Local and global temporal correlations for longitudinal data ⋮ Order restricted univariate and multivariate inference with adjustment for covariates in partially linear models ⋮ Testing the equality of linear single-index models
Cites Work
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- Asymptotic properties of the LSE in a regression model with long-memory stationary errors
- Consistent nonparametric regression. Discussion
- Longitudinal data with nonstationary errors: A nonparametric three-stage approach
- Nonparametric comparison of several regression functions: Exact and asymptotic theory
- Nonparametric analysis of covariance.
- Plug-in bandwidth choice for estimation of nonparametric part in partial linear regression models with strong mixing errors
- Root-N-Consistent Semiparametric Regression
- Choice of bandwidth for kernel regression when residuals are correlated
- Root-n-consistent Estimation in Partial Linear Models with Long-memory Errors
- On Fractionally Integrated Autoregressive Moving-Average Time Series Models With Conditional Heteroscedasticity
- Second Order Approximation in the Partially Linear Regression Model
- NONPARAMETRIC REGRESSION ON FUNCTIONAL DATA: INFERENCE AND PRACTICAL ASPECTS
- Testing linearity of regression models with dependent errors by kernel based methods
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