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A randomly weighted estimate of the population mean
Authors:Xiru Chen  Mingzhong Jin
Institution:(1) Graduate School, University of Science and Technology of China, 100039 Beijing, China;(2) Guizhou National College, 550025 Guizhou, China
Abstract:Consider the model (1.6), whereE ij (j=1, ...,N i,i=1,2,...) are i.i.d. with mean 0 and variance 1. Introduce a randomly weighted estimatebeta n defined by (1.8). Assuminge 11 simN(0, 1) andN i ge 6, the paper gives a necessary and sufficient condition forbeta n to be a consistent estimate ofbeta 0, and under some further restrictions a normal approximation fobeta n is established which can be used in constructing a large sample confidence interval ofbeta 0. Finally, in the non-normal case a theorem about the consistency ofbeta n is proved.This work is supported by the National Natural Sciences Foundation of China.
Keywords:Consistency  normal approximation  confidence interval  
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