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Journal of Nonparametric Statistics Volume 7, 1996 - Issue 2
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Original Articles

Symmetric quantile and symmetric trimmed mean for linear regression model

Lin-An Chen Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan
&
Yuang-Chin Chiang Institute of Statistics, National Tsing Hua University, Hsinchu, Taiwan
Pages 171-185 | Received 10 Jan 1994, Published online: 12 Apr 2007

Citations (9)

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Read on this site (2)

Yuang-Chin Chiang, Lin-An Chen & Hsien-Chueh Peter Yang. (2006) Symmetric quantiles and their applications. Journal of Applied Statistics 33:8, pages 807-817.
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Lin-An Chen & Peter Thompson. (1998) Trimmed least squares estimator as best trimmed linear conditional estimator for linear regression model. Communications in Statistics - Theory and Methods 27:7, pages 1835-1849.
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Articles from other publishers (7)

Lin‐An Chen & Chu‐Lan Kao. (2021) Parametric and nonparametric improvements in Bland and Altman's assessment of agreement method. Statistics in Medicine 40:9, pages 2155-2176.
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Pavel Čížek. (2013) Reweighted least trimmed squares: an alternative to one-step estimators. TEST 22:3, pages 514-533.
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Yi-Hsuan Lai, Lin-An Chen & Chau-Shyun Tang. (2010) Linear trimmed means for the linear regression with AR(1) errors model. Journal of Statistical Planning and Inference 140:11, pages 3457-3467.
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L.-A. Chen, D.-T. Chen & W. Chan. (2010) The distribution-based p-value for the outlier sum in differential gene expression analysis. Biometrika 97:1, pages 246-253.
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Wen-Hui Lo & Sin-Horng Chen. (2009) The mean estimation of the combined quantities by the asymptotic minimax optimization. The mean estimation of the combined quantities by the asymptotic minimax optimization.
Shuo-Huei Lin, Wenyaw Chan & Lin-An Chen. (2008) A non-parametric coverage interval. Metrologia 45:1, pages L1-L4.
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Lin-An Chen, Lanh Tat Tran & Li-Ching Lin. (2004) Symmetric regression quantile and its application to robust estimation for the nonlinear regression model. Journal of Statistical Planning and Inference 126:2, pages 423-440.
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