Research Staff

鄭紀倫

Chi-Lun Cheng

Institute of Statistical Science Academia Sinica
Taipei 11529, Taiwan, R.O.C.
Tel: 886-2-27835611 ext.420
FAX : 886-2-27831523
E-mail: clcheng@stat.sinica.edu.tw

1987

2006



Research Interests

Education

1987 Ph.D., Programs in Mathematical Sciences (majored in Statistics),
The University of Texas at Dallas
1983 M.A., Mathematics,
The University of Texas at Austin
1976 B.S., Mathematics,
National Taiwan Normal University

Professional Experience

Jul. 1999 - present Research Fellow, Institute of Statistical Science, Academia Sinica
Oct. 1992- Jul. 1999  Associate Research Fellow, Institute of Statistical Science, Academia Sinica
Sep. 1995 - Sep. 1996 Visiting Scholar (Fellowship, National Science Council, Republic of China), Institute of Statistics, University of Munich, Germany
Jun. 1991 - Oct. 1992 Assistant Research Fellow, Institute of Statistical Science, Academia Sinica
Sep. 1990 - May 1991 Lecturer, Department of Mathematics,
The University of Texas at Austin
Aug. 1988 - Jul. 1990 Associate Professor, Department of Mathematics, Tamkang University, Taiwan, Republic of China
Jan. 1988 - May 1988 Visiting Assistant Professor, Department of Mathematics, Texas A&M University
Sep. 1987 - Dec. 1987 Lecturer, Programs in Mathematical Sciences, The University of Texas at Dallas

Professional Activities

Vol. 52, 2007 Guest Co-editor, Special Issue on Total Least Squares and Errors-In-Variables Modeling, Computational Statistics and Data Analysis
 
Aug. 1999 - Jul. 2005 Associate Editor, Statistica Sinica

Grant and Awards

[1] Research Award: 1988-1989, 1991-2001, NSC (National Science Council), Taiwan, Republic of China.
[2] Fellowship for visiting University of Munich, Germany: September 1995 - September 1996, NSC.
[3] Exchange Visitor, 25 May 1998 to 4 July 1998. University of Munich, Germany. Fund jointly provided by DAAD (German Academic Exchange Service) and NSC.
[4] Exchange Visitor, 15 September 1999 to 14 October 1999. University of Munich, Germany. PPP (Programme for Project-based Personnel Exchange) provided by DAAD and NSC.
[5] Exchange Visitor, 11 July 2000 to 31 July 2000. University of Munich, Germany. PPP provided by DAAD and NSC.

Publications

A
. Articles in Refereed Journals.

[1] C-L. Cheng and J. W. Van Ness (1991). "On the unreplicated ultrastructural model." Biometrika, Vol. 78, No.2, 442-445.
[2] C-L. Cheng and J. W. Van Ness (1992). "Generalized M-estimators for errors-in-variables regression.'' The Annals of Statistics, Vol. 20, No.1, 385-397.
[3] C-L. Cheng (1992). "Robust linear regression via bounded influence M-estimators.'' Journal of Multivariate Analysis, Vol. 40, No.1, 158-171.
[4] C-L. Cheng and J. W. Van Ness (1994). "On estimating the linear relationships when both variables are subject to errors.'' Journal of the Royal Statistical Society Series B, Vol. 56, No.1, 167-183.
[5] C-L. Cheng and J. W. Van Ness (1997). "Robust calibration." Technometrics, Vol. 39, No. 4, 401-411.
[6] C-L. Cheng and H. Schneeweiss (1998). "Polynomial regression with errors in the variables.'' Journal of the Royal Statistical Society Series B, Vol. 60, Part 1, 189-199.
[7] C-L. Cheng, H. Schneeweiss and M. Thamerus (2000). "A small sample estimator for a polynomial regression with errors in the variables.'' Journal of the Royal Statistical Society Series B, Vol. 62, Part 4, 699-709.
[8] C-L. Cheng, and A. Kukush (2004). " A goodness-of-fit test in a polynomial errors-in-variables model.'' Ukrainian Mathematical Journal, Vol. 56, No.4, 641-661.
[9] C-L. Cheng and C-L. Tsai (2004). "The invariance of some score tests in the linear model with classical measurement error.'' Journal of the American Statistical Association, Vol. 99, No.467, 805-809.
[10] H. Schneeweiss and C-L. Cheng (2006). "Bias of the structural quasi score estimator of a measurement error model under misspecification of the regressor distribution." Journal of Multivariate Analysis, Vol. 97, No.2, 455-473.
[11] C-L. Cheng and A. Kukush (2006). "Non-existence of the first moment of the adjusted least squares estimator in multivariate errors-in-variables model." Metrika, Vol. 64, No.1, 41-46.
[12] C-L. Cheng and J. Riu (2006). "On estimating linear relationships when both variables are subject to heteroscedastic measurement errors." Technometrics, Vol. 48, No.4, 511-519.
[13] Chi-Lun Cheng, Shalabh, and Garg G. (2014). Coefficient of determination for multiple measurement error models. Journal of Multivariate Analysis, 126, 137-152.
[14] Chi-Lun Cheng, Jia-Ren Tsai (2015). On interval estimation in linear relationships with heteroscedastic measurement errors in both axes. Chemometrics and Intelligent Laboratory Systems, 142, 276–284.
[15] C-L. Cheng, Shalabh, and Garg G. (2016). Goodness of fit in restricted measurement error models. Journal of Multivariate Analysis, 145, 101-116.

B. Articles in Refereed Proceedings.
[1] C-L. Cheng and J. W. Van Ness (1990). "Bounded influence errors-in-variables regression,'' In Statistical Analysis of Measurement Error Models and Applications. P. Brown and W. Fuller, eds. Contemporary Mathematics, Vol. 112, 227-241. American Mathematical Society. Providence, Rhode Island.
[2] C-L. Cheng and C-L. Tsai (1995). "Estimating linear measurement error models via M-estimators.'' In Symposia Gaussiana: Proceedings of Second Gauss Symposium, Conference B: Statistical Sciences. 247-259. V. Mammitzsch and H. Schneeweiss, eds. Berlin: Walter de Gruyter.
[3] C-L. Cheng and J. W. Van Ness (1997). "Structural and functional models revisited.'' In Recent Advances in Total Least Squares Techniques and Errors-in-Variables Modeling. 37-50. S. Van Huffel ed. Philadelphia: SIAM.
[4] C-L. Cheng and H. Schneeweiss (1998). "Note on two estimators for the polynomial regression with errors in the variables.'' In Statistical Modeling: Proceedings of the 13th International Workshop on Statistical Modeling. 141-147. B. Marx and H. Friedl eds. New Orleans, Louisiana.
[5] C-L. Cheng and J. W. Van Ness (1998). "Errors in variables in econometrics." In Econometrics in Theory and Practice: Festschrift for H. Schneeweiss. 3-13. R. Galata and H. Kuchenhoff eds. Berlin: Physica-Verlag.
[6] C-L. Cheng and H. Schneeweiss (2002). "On the polynomial measurement error model.'' In Total Least Squares and Errors-in-Variables Modeling. 131-143. S. Van Huffel and P. Lemmering eds. Dordrecht: Kluwer.
[7] H. Schneeweiss, C-L. Cheng and R. Wolf (2002). "On the bias of structural estimation methods in a polynomial regression with measurement error when the distribution of the latent covariate is a mixture of normals." Contributions to Modern Econometrics-From Data Analysis to Economic Policy. 209-222. I. Klein and S. Mittnik eds. Boston: Kluwer.

C. Monograph.
[1] C-L. Cheng and J. W. Van Ness (1999). Statistical Regression with Measurement Error. London: Arnold and New York: Oxford University Press. Kendall's Library of Statistics 6.

Files: Book reviews

D. Unpublished manuscripts.
[1] C-L. Cheng and C-L. Tsai (1993). "Diagnostics in measurement error model.''
[2] C-L. Cheng and C-L. Tsai (1994). "The comparisons of three different linear calibration estimators in measurement error models.''
[3] C-L. Cheng (1994). "On generalized least squares and least squares.''
[4] C-L. Cheng (1997). "On the polynomial Berkson model.''

 

 

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