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Large and moderate deviations for L-statistics

✍ Scribed by A. Aleskeviciene


Publisher
Springer
Year
1992
Tongue
English
Weight
515 KB
Volume
31
Category
Article
ISSN
0363-1672

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We study the least-squares estimator in the scalar autoregressive model of order 1 with Gaussian noise and arbitrary ΓΏxed initial state. Upper bounds of both large and moderate deviations principles are achieved in the unstable and explosive frameworks. The moderate deviations results are consistent