Almost complete convergence for the sequence of approximate solutions in linear calibration problem with α-mixing random data
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In this work, we propose a stochastic method which gives an estimated solution for a linear calibration problem with ?-mixing random data. We establish exponential inequalities of Fuk Nagaev type, for the probability of the distance between the approximate solutions and the exact one. Furthermore, we build a confidence domain for the so mentioned exact solution. To check the validity of our results, a numerical example is proposed.
2015 ◽
Vol 45
(18)
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pp. 5251-5262
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2000 ◽
Vol 62
(3)
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pp. 417-426
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2002 ◽
Vol 31
(7)
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pp. 1167-1177
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1949 ◽
Vol 53
(461)
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pp. 461-483
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