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[PDF] Top 20 Equivalent conditions of complete moment convergence for extended negatively dependent random variables

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Equivalent conditions of complete moment convergence for extended negatively dependent random variables

Equivalent conditions of complete moment convergence for extended negatively dependent random variables

... P(X > x, Y > y) ≤ P(X > x)P(Y > y) (.) for all x, y ∈ R. Moreover, it follows that (.) implies (.), and hence (.) and (.) are equivalent. However, Ebrahimi and Ghosh ( []) showed that ... See full document

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Complete moment convergence for product sums of sequence of extended negatively dependent random variables

Complete moment convergence for product sums of sequence of extended negatively dependent random variables

... Complete moment convergence for product sums of sequences of extended negatively dependent random variables are discussed by utilizing the method of Wang et ... See full document

15

Complete convergence and complete moment convergence for weighted sums of extended negatively dependent random variables under sub linear expectation

Complete convergence and complete moment convergence for weighted sums of extended negatively dependent random variables under sub linear expectation

... of extended negatively dependent random variables is established under sub-linear expectations ...the complete convergence and complete moment ... See full document

14

On the strong convergence for weighted sums of negatively superadditive dependent random variables

On the strong convergence for weighted sums of negatively superadditive dependent random variables

... complete convergence of random variables is a very important tool in establishing almost sure ...concerning complete convergence for normed sums of random variables ... See full document

14

Complete convergence for negatively orthant dependent random variables

Complete convergence for negatively orthant dependent random variables

... (i.i.d.) random variables converges completely to the expected value if the variance of the summands is ...and extended in sev- eral directions by many ... See full document

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On the complete convergence for pairwise negatively quadrant dependent random variables

On the complete convergence for pairwise negatively quadrant dependent random variables

... mild conditions, Wu [] for the three series theorem of pairwise NQD sequences and the Marcinkiewicz strong law of large numbers, Li and Yang [], Wu and Jiang [] for strong limit theorems, Shen et ...the ... See full document

11

Complete convergence and complete moment convergence for a class of random variables

Complete convergence and complete moment convergence for a class of random variables

... independent random variables, then ...of dependent random variables satisfying ...NA random variables (see Shao []), ρ * -mixing random variables (see Utev ... See full document

12

A complete convergence theorem for weighted sums of arrays of rowwise negatively dependent random variables

A complete convergence theorem for weighted sums of arrays of rowwise negatively dependent random variables

... applying moment inequality of negatively dependent (ND) random variables which obtained by Asadian et ...the complete convergence theorem for weighted sums of arrays of ... See full document

10

Complete convergence of randomly weighted END sequences and its application

Complete convergence of randomly weighted END sequences and its application

... END random variables, many researchers pay attention to the study of ...some moment inequalities of END sequence; Wang et ...the complete convergence for END sequences; Wang et ...the ... See full document

16

A note on the complete convergence for weighted sums of negatively dependent random variables

A note on the complete convergence for weighted sums of negatively dependent random variables

... If β < –, then (.) is immediate. Hence Theorem . is of interest only for β ≥ –. Recently, Wu [] extended Theorem . to negatively dependent random variables when β > –. ... See full document

10

Complete moment convergence for maximal partial sums under NOD setup

Complete moment convergence for maximal partial sums under NOD setup

... to negatively orthant depen- dent (NOD) random ...necessary conditions are ...the complete convergence is obtained for NOD ...plete moment convergence for NOD, but the ... See full document

12

Sufficient and necessary conditions of complete convergence for asymptotically negatively associated random variables

Sufficient and necessary conditions of complete convergence for asymptotically negatively associated random variables

... some moment inequalities of partial sums, the central limit theorems, and the complete convergence, Kim et ...some moment inequalities of the maximum of partial sums, Wang and Zhang [18] for a ... See full document

13

A note on the complete convergence for arrays of dependent random variables

A note on the complete convergence for arrays of dependent random variables

... A complete convergence result for an array of rowwise independent mean zero random variables was established by Kruglov et ...partially extended to negatively associated and ... See full document

8

Complete q th moment convergence for arrays of random variables

Complete q th moment convergence for arrays of random variables

... The complete qth moment convergence for dependent random variables was estab- lished by many ...are equivalent for ϕ-mixing random ...established complete ... See full document

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Complete Convergence for Negatively Dependent Sequences of Random Variables

Complete Convergence for Negatively Dependent Sequences of Random Variables

... Complete convergence is one of the most important problems in probability ...the complete convergence can be found in Wu 11, 12 and Sung 13, ...the complete convergence for ... See full document

10

Complete moment convergence for weighted sums of negatively superadditive dependent random variables

Complete moment convergence for weighted sums of negatively superadditive dependent random variables

... NSD random variables with EX i r < ∞ for all i ≥  and some r > ...NSD random variables. Wang et al. [] inves- tigated the complete convergence for arrays of rowwise NSD ... See full document

13

On complete moment convergence for arrays of rowwise pairwise negatively quadrant dependent random variables

On complete moment convergence for arrays of rowwise pairwise negatively quadrant dependent random variables

... peradditive dependent (NSD) random ...END random variables, Wu [7] for negatively associated random variables, Wu et ...weakly dependent random ... See full document

14

On Complete Convergence for Arrays of Rowwise  Mixing Random Variables and Its Applications

On Complete Convergence for Arrays of Rowwise Mixing Random Variables and Its Applications

... independent random variables, complete convergence has been extensively investigated see, ...Recently, complete convergence for arrays of rowwise dependent random ... See full document

12

Complete convergence and complete moment convergence for negatively associated sequences of random variables

Complete convergence and complete moment convergence for negatively associated sequences of random variables

... for negatively associated sequences of random variables with EX = 0, E exp(ln α |X |) < ∞, α > ...some complete convergence and complete moment convergence ... See full document

10

On complete moment convergence for nonstationary negatively associated random variables

On complete moment convergence for nonstationary negatively associated random variables

... the complete moment convergence for sequences of negatively associated random variables satisfying a weak mean dominating ...of complete convergence for ... See full document

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