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ILDAR ABDULLOVICH IBRAGIMOV

机译:伊尔达·阿卜杜洛维奇·易卜拉欣莫夫

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I. A. Ibragimov turned 80 on July 15, 2012. Ildar Abdullovich is a worldwide renowned mathematician, one of the leading specialists in Probability and Statistics. I. A. Ibragimov is the author of four monographs; he heads a school of Probability and Statistics recognized in the world. Starting from his student years and till now he has been a leading researcher in this field. I. A. Ibragimov introduced and studied in detail conditions of uniformly strong mixing; he proved the Central Limit Theorem for sums of weakly dependent random variables. In the spectral theory of stationary random processes, he indicated a connection between the property of total regularity of processes and the smoothness of the spectral density. In the domain of classical limit theorems, I. A. Ibragimov obtained necessary and sufficient conditions for power rate of convergence in the Central Limit Theorem for sums of i.i.d. random variables and necessary conditions under which the Chebyshev-Cramer asymptotic expansions are valid. He developed a new effective method of asymptotic analysis of functional of random walks. His extremely fruitful collaboration with R. Z. Khasminskii lead to development of the asymptotic theory of statistical estimation for irregular families of distributions. The asymptotic model of a signal in white noise studied by I. A. Ibragimov and R. Z. Khasminskii became canonical in problems of nonparametric estimation and hypotheses testing. I. A. Ibragimov got deep results on estimation of analytic functions in statistical models and analytic spectral densities for Gaussian stationary processes. One of his new papers is published in this volume.
机译:I. A. Ibragimov于2012年7月15日年满80岁。Ildar Abdullovich是举世闻名的数学家,是概率和统计领域的领先专家之一。 I. A. Ibragimov是四本专着的作者;他领导着一家全球公认的概率与统计学院。从他的学生时代开始,直到现在,他一直是该领域的领先研究人员。 I. A. Ibragimov介绍并研究了均匀均匀混合的条件;他证明了弱相关随机变量之和的中心极限定理。在平稳随机过程的光谱理论中,他指出了过程的总规律性与光谱密度的平滑性之间的联系。在经典极限定理的领域中,I。A. Ibragimov在中心极限定理中求出i.i.d之和的功率收敛速度条件。 Chebyshev-Cramer渐近展开有效的随机变量和必要条件。他开发了一种新的有效渐进分析随机游动功能的方法。他与R. Z. Khasminskii的卓有成效的合作导致了对不规则分布族的统计估计的渐近理论的发展。 I. A. Ibragimov和R. Z. Khasminskii研究的白噪声信号的渐近模型成为非参数估计和假设检验问题的典范。 I. A. Ibragimov在高斯平稳过程的统计模型和解析光谱密度的估计中对估计函数的估计取得了深远的成果。他的新论文之一在本卷中发表。

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