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