참고문헌
- 이동희, 정병철 (2010). 붓스트랩을 활용한 최적 절사공간중위수 추정량, <응용통계연구>, 23, 375–382. https://doi.org/10.5351/KJAS.2010.23.2.375
- 최현집 (2003). 범주형 자료 분석을 위한 LAD 추정량, <응용통계연구>, 16, 55–69. https://doi.org/10.5351/KJAS.2003.16.1.055
-
Barrodale, I. and Roberts, F. D. K. (1973). An improved algorithm for discrete
$l_1 $ linear approximation, SIAM Journal of Numerical Analysis, 10, 839–848. - Birkes, D. and Dodge, Y. (1993). Alternative Methods of Regression, John Wiley & Sons, Inc.
- Choi, H. J. (2008). Estimating LAD regression coefficients with best subset points, Communications in Statistics, Simulation and Computation, 37, 1799–1809.
- Godalize, A. (1991). Best approximations to random variables based on trimming procedures, Journal of Approximation Theory, 64, 162–180.
- Grizzle, J. E., Stamer, F. and Koch, G. G. (1969). Analysis of categorical data by linear models, Biometrics, 25, 489–504.
- Hadi, A. S. and Luceno, A. (1997). Maximum trimmed likelihood estimators: A unified approach, example, and algorithms, Computational Statistics and Data Analysis, 25, 251–272.
- Koenker, R.W. and d'Orey (1987). Computing regression quantiles, Journal of the Royal Statistical Society, Series C(Applied Statistics), 36, 383–393.
- Mosteller, F. and Parunak, A. (1985). Identifying extreme cells in a sizable contingency table: Probabilistic and exploratory approaches, In Exploring Data Tables, Trends and Shape, edited by Hoaglin, D. C., Mosteller, F. and Tukey, J. W., John Wiley & Sons, New York, 189–224.
- Rousseeuw, P. J. and Driessen, K. (2006). Computing LTS regression for large data sets, Data Mining and Knowledge Discovery, 12, 29–45.
- Schlossmacher, E. J. (1973). An iterative technique for absolute deviations curve fitting, Journal of the American Statistical Association, 68, 857–859.
- Shane, K. V. and Simonoff, J. S. (2001). A robust approach to categorical data analysis, Jounal of Computational and Graphical Statistics, 10, 135–157.
-
Vandev, D. L. (1995). Computing of trimmed
$L_1$ median, In Multidimensional Analysis in Behavioral Sciences, Philosopic to Technical, 152–157.