Efficiency in normal samples and tolerance of extreme values for some estimates of location

Keywords

Statistics, Mathematics, Environmental science

References

• Estimation of Location and Scale Parameters by Order Statistics from Singly and Doubly Censored SamplesA. E. Sarhan, Bernard Greenberg — 1956
• Small Sample Power and Efficiency for the One Sample Wilcoxon and Normal Scores TestsJerome Klotz — 1963
• Galton's Rank-Order TestJ. L. Hodges — 1955
• Simplified Estimation from Censored Normal SamplesW. J. Dixon — 1960
• The Future of Data AnalysisJohn W. Tukey — 1962
• The Efficiency of Some Nonparametric Competitors of the t-TestJ. L. Hodges, E. L. Lehmann — 1956
• An Introduction to Probability Theory and Its ApplicationsL. H., William Feller — 1959
• On Some Useful "Inefficient" StatisticsFrederick Mosteller — 1946
• NUMERICAL EVALUATION OF HODGES-LEHMANN ESTIMATES.A. Høyland — 1964

Cited by

• The Use of Hodges-Lehmann Estimator in Multiple Response Optimization with ReplicationC. K. Ch'ng, S. H. Quah, Heng Chin Low — 2004
• Visualizing large epidemiological data sets using depth and densityJukka Kontto — 2007
• Incomplete generalized L-statisticsOla Hössjer — 1996
• On Computing Geometric Estimators of LocationGreg Aloupis — 2001
• Analysis and Diagnostics for Censored Regression and Multivariate DataNazrina Aziz — 2010
• Robust Covariance Matrix Estimation via Matrix DepthMengjie Chen, Chao Gao, Zhao Ren — 2015
• Algorithms for least median of squares state estimation of power systemsLamine Mili, M.G. Cheniae, N.S. Vichare — 1992
• The numerical characteristics or robustness of the class of the hodges-lehmann generalized estimatorsT.A. Deeval, V. P. Shulenin — 1999
• Finite Sample Breakdown Points of Projection Based Multivariate Location and Scatter StatisticsDavid E. Tyler — 1994
• The Small-Sample Variance of the Pitman Location EstimatorsDavid C. Hoaglin — 1975
• Some quantitative relationships between two types of finite sample breakdown pointYijun Zuo — 2001
• A one-step robust estimator for regression based on the weighted likelihood reweighting schemeClaudio Agostinelli, Marianthi Markatou — 1998
• Applying robust regression techniques to institutional dataFranz Bingen, Carlos Siau, Peter J. Rousseeuw — 1986
• Small Sample Behavior of Some Robust Linear Estimators of LocationJoseph L. Gastwirth, Matthew L. Cohen — 1970
• Breakdown point of Schuster–Narvarte's location estimatorZhiqiang Chen — 2000
• The Influence Curve and Its Role in Robust EstimationFrank R. Hampel — 1974
• Efficient Scores, Variance Decompositions, and Monte Carlo SwindlesIain M. Johnstone, Paul F. Velleman — 1985
• A note on the distribution of the resistance of rank testsHany Zayed, Dana Quade — 1997
• Robust estimation: A condensed partial surveyFrank R. Hampel — 1973
• The Asymptotic Theory of Galton's Test and a Related Simple Estimate of LocationPeter J. Bickel, J. L. Hodges — 1967

Related papers

• A General Qualitative Definition of RobustnessFrank R. Hampel — 1971
• Least Median of Squares RegressionPeter J. Rousseeuw — 1984
• Robust Estimation of a Location ParameterPeter J. Huber — 1964
• Robust statistics: the approach based on influence functionsDavid Ruppert, Frank R. Hampel, Elvezio Ronchetti — 1986
• Robust Regression and Outlier DetectionGregory F. Piepel, Peter J. Rousseeuw, Annick M. Leroy — 1989
• Estimates of Location Based on Rank TestsJ. L. Hodges, E. L. Lehmann — 1963
• The Influence Curve and Its Role in Robust EstimationFrank R. Hampel — 1974