R-estimation in autoregression with square-integrable score function
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Publication:1604625
DOI10.1006/jmva.2001.1998zbMath1011.62093OpenAlexW1993519283MaRDI QIDQ1604625
Kanchan Mukherjee, Zhi-Dong Bai
Publication date: 8 July 2002
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1006/jmva.2001.1998
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
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Cites Work
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- Testing linear hypotheses in autoregressions
- Linear serial rank tests for randomness against ARMA alternatives
- Asymptotics in statistics: some basic concepts
- A weak convergence result useful in robust autoregression
- Weak convergence of randomly weighted dependent residual empiricals with applications to autoregression
- Aligned rank tests for linear models with autocorrelated error terms
- On adaptive estimation in stationary ARMA processes
- Autoregression quantiles and related rank-scores processes
- \(R\)-estimation of the parameters of autoregressive [AR(\(p\)) models]
- Asymptotic normality ofr-estimates in the linear model
- Robust Estimation of the First-Order Autoregressive Parameter
- Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals
- Estimates of Regression Parameters Based on Rank Tests
- On a Class of Rank Order Tests for the Parallelism of Several Regression Lines
- Asymptotic Linearity of a Rank Statistic in Regression Parameter
- Asymptotic Behavior of a Class of Confidence Regions Based on Ranks in Regression
- Nonparametric Estimate of Regression Coefficients
- Robust Statistics
