An Approach for Specifying Trimming and Winsorization Cutoffs

Author:

Cheng Kedai,Young Derek S.ORCID

Funder

Chan Zuckerberg Initiative

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Environmental Science,Statistics and Probability

Reference37 articles.

1. Chambers RL, Kokic PN, Smith P, Cruddas M (2000) Winsorization for identifying and treating outliers in business surveys. In Proceedings of the second international conference on establishment surveys: survey methods for businesses, farms, and institutions, pp 717–726

2. Clark RG (1995) Winsorization methods in sample surveys. Master’s thesis, Department of Statistics - Australian National University

3. Di Bucchianico A, Einmahl JHJ, Mushkudiani NA (2001) Smallest nonparametric tolerance regions. Ann Statist 29(5):1320–1343

4. Dimitri C, Effland A, Conklin N (2005) The 20th century transformation of U.S. agriculture and farm policy. Technical Report 3, Economic Research Service, Washington, DC URL https://www.ers.usda.gov/webdocs/publications/44197/13566_eib3_1_.pdf?v=6675.7

5. Dixon WJ, Tukey JW (1968) Approximate behavior of the distribution of Winsorized t (Trimming/Winsorization 2). Technometrics 10(1):83–98

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