A general law of moment convergence rates for uniform empirical process |
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Authors: | Qing Pei Zang Wei Huang |
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Institution: | School of Mathematical Science, Huaiyin Normal University,Huai'an 223300, P. R. China |
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Abstract: | Let {X
n
; n ≥ 1} be a sequence of independent and identically distributed U0,1]-distributed random variables. Define the uniform empirical process $F_n (t) = n^{ - \tfrac{1}
{2}} \sum\nolimits_{i = 1}^n {(I_{\{ X_i \leqslant t\} } - t),0} \leqslant t \leqslant 1,\left\| {F_n } \right\| = \sup _{0 \leqslant t \leqslant 1} \left| {F_n (t)} \right|
$F_n (t) = n^{ - \tfrac{1}
{2}} \sum\nolimits_{i = 1}^n {(I_{\{ X_i \leqslant t\} } - t),0} \leqslant t \leqslant 1,\left\| {F_n } \right\| = \sup _{0 \leqslant t \leqslant 1} \left| {F_n (t)} \right|
. In this paper, the exact convergence rates of a general law of weighted infinite series of E {‖F
n
‖ − ɛg
s
(n)}+ are obtained. |
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Keywords: | Moment convergence rates uniform empirical process Brownian bridge |
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