Expansions for statistics involving the mean absolute deviations
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DOI: 10.1007/BF00058648
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Cited by:
- Carina Gerstenberger & Daniel Vogel, 2015. "On the efficiency of Gini’s mean difference," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 569-596, November.
- Marcel, Bräutigam & Marie, Kratz, 2018. "On the Dependence between Quantiles and Dispersion Estimators," ESSEC Working Papers WP1807, ESSEC Research Center, ESSEC Business School.
- Kamila Tureckova, 2015.
"Income Inequality By Method Of Non-Weighted Average Absolute Deviation: Case Study Of Central And Eastern European Countries*,"
Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 10(4), pages 99-110, December.
- Kamila Tureckova, 2015. "Income Inequality by Method of Non-weighted Average Absolute Deviation: case study of Central and Eastern European Countries," Working Papers 115/2015, Institute of Economic Research, revised Apr 2015.
- Marcel Bräutigam & Marie Kratz, 2018. "On the Dependence between Quantiles and Dispersion Estimators," Working Papers hal-02296832, HAL.
- Thaddeus Tarpey, 1997. "Estimating principal points of univariate distributions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(5), pages 499-512.
- Eberl, Andreas & Klar, Bernhard, 2020. "Asymptotic distributions and performance of empirical skewness measures," Computational Statistics & Data Analysis, Elsevier, vol. 146(C).
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Keywords
Mean absolute deviations; Edgeworth expansions; quantiles; linear model; L 1 -norm;All these keywords.
Statistics
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