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Strong Consistency of the Spline-Estimation of Probabilities Density in Uniform Metric
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作者 Mukhammadjon S. Muminov Khaliq S. Soatov 《Open Journal of Statistics》 2016年第2期373-379,共7页
In the present paper as estimation of an unknown probability density of the spline-estimation is constructed, necessity and sufficiency conditions of strong consistency of the spline-estimation are given.
关键词 Strong Consistency Spline-Estimation probability Density in uniform Metric uniform Metric Soatov Muminov Tashkent University Institute of Mathematics
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Random difference equations with subexponential innovations 被引量:3
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作者 TANG QiHe YUAN ZhongYi 《Science China Mathematics》 SCIE CSCD 2016年第12期2411-2426,共16页
We consider the random difference equations S =_d(X + S)Y and T =_dX + TY, where =_ddenotes equality in distribution, X and Y are two nonnegative random variables, and S and T on the right hand side are independent of... We consider the random difference equations S =_d(X + S)Y and T =_dX + TY, where =_ddenotes equality in distribution, X and Y are two nonnegative random variables, and S and T on the right hand side are independent of(X, Y). Under the assumptions that X follows a subexponential distribution with a nonzero lower Karamata index, that Y takes values in [0, 1] and is not degenerate at 0 or 1, and that(X, Y) fulfills a certain dependence structure via the conditional tail probability of X given Y, we derive some asymptotic formulas for the tail probabilities of the weak solutions S and T to these equations. In doing so we also obtain some by products which are interesting in their own right. 展开更多
关键词 asymptotics Karamata index long tail random difference equation subexponentiality tail probability uniformity
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