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Generalized Inference for a Class of Linear Models Under Heteroscedasticity
Authors:Shifeng Xiong  Weiyan Mu  Xingzhong Xu
Institution:1. Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences , Beijing, China xiong@amss.ac.cn;3. Department of Mathematics , Beijing Institute of Technology , Beijing, China
Abstract:In this article we study inferences for a class of linear models under heteroscedasticity. Using the generalized inference approach, we obtain the generalized p-values of two-sided hypotheses for the multi-dimensional location parameters and one-sided hypotheses for the scale parameters, respectively. Some frequentist properties in small-sample cases and large-sample cases are proven.
Keywords:Frequency  Generalized pivotal  Generalized p-value  Heteroscedasticity  Linear model
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