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Exponential probability inequality for $$m$$ m -END random variables and its applications

Xuejun Wang (), Yi Wu and Shuhe Hu

Metrika: International Journal for Theoretical and Applied Statistics, 2016, vol. 79, issue 2, 127-147

Abstract: The concept of $$m$$ m -extended negatively dependent ( $$m$$ m -END, in short) random variables is introduced and the Kolmogorov exponential inequality for $$m$$ m -END random variables is established. As applications of the Kolmogorov exponential inequality, we further investigate the complete convergence for arrays of rowwise $$m$$ m -END random variables and the complete consistency for the estimator of nonparametric regression models based on $$m$$ m -END errors. Our results generalize and improve some known ones for independent random variables and dependent random variables. Copyright Springer-Verlag Berlin Heidelberg 2016

Keywords: $$m$$ m -extended negatively dependent random variables; Complete convergence; Kolmogorov exponential inequality; Complete consistency; 60E05; 60F15; 62G05 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s00184-015-0547-7

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