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Original Articles

Jackknifing in Unbalanced Situations

David V. Hinkley Department of Applied Statistics, University of Minnesota, St. Paul, Minnesota, 55108
Pages 285-292 | Published online: 09 Apr 2012

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Nilgün Yıldız. (2018) On the performance of the Jackknifed Liu-type estimator in linear regression model. Communications in Statistics - Theory and Methods 47:9, pages 2278-2290.
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Jibo Wu. (2016) A jackknifed difference-based ridge estimator in the partial linear model with correlated errors. Statistics 50:6, pages 1363-1375.
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Rand R. Wilcox & Florence Clark. (2015) Heteroscedastic Global Tests that the Regression Parameters for Two or More Independent Groups are Identical. Communications in Statistics - Simulation and Computation 44:3, pages 773-786.
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Mansi Khurana, Yogendra P. Chaubey & Shalini Chandra. (2014) Jackknifing the Ridge Regression Estimator: A Revisit. Communications in Statistics - Theory and Methods 43:24, pages 5249-5262.
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Muhammad Aslam. (2014) Using Heteroscedasticity-Consistent Standard Errors for the Linear Regression Model with Correlated Regressors. Communications in Statistics - Simulation and Computation 43:10, pages 2353-2373.
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Yalian Li & Hu Yang. (2011) On the Performance of the Jackknifed Modified Ridge Estimator in the Linear Regression Model with Correlated or Heteroscedastic Errors. Communications in Statistics - Theory and Methods 40:15, pages 2695-2708.
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Jinhong You & Gemai Chen. (2003) Jackknife Estimation for Smooth Functions of the Parametric Component in Partially Linear Regression Models. Communications in Statistics - Theory and Methods 32:9, pages 1817-1833.
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JeffreyS. Simonoff & Chih-Ling Tsai. (1986) Jackknife-Based Estimators and Confidence Regions in Nonlinear Regression. Technometrics 28:2, pages 103-112.
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