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[PDF] Top 20 A note on the complete convergence for weighted sums of negatively dependent random variables

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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 > –. Wu [] ... See full document

10

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

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

14

A note on the strong limit theorem for weighted sums of sequences of negatively dependent random variables

A note on the strong limit theorem for weighted sums of sequences of negatively dependent random variables

... for weighted sums of sequences of negatively dependent random variables is further ...the complete convergence theorem for sequences of negatively ... See full document

10

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

... In this article we study the complete convergence for ND random variables. Our results generalize and improve those on complete convergence theorem previously obtained by Hu et ... See full document

10

A note on complete convergence of weighted sums for array of rowwise AANA random variables

A note on complete convergence of weighted sums for array of rowwise AANA random variables

... The complete convergence for an array of rowwise random variables was studied by many ...the complete convergence for an array of rowwise inde- pendent random ... See full document

13

On complete convergence and complete moment convergence for weighted sums of \(\rho^{*}\) mixing random variables

On complete convergence and complete moment convergence for weighted sums of \(\rho^{*}\) mixing random variables

... Note that if (1.5) holds for some q > 0, then (1.4) also holds. The proof is well known. Throughout this paper, C always stands for a positive constant that may differ from one place to another. For events A and ... See full document

16

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 ...the complete convergence for END sequences; Wang et ...the negatively dependent random ...the ... See full document

16

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

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

... obtained complete convergence results (Theo- rems ...for negatively associated and negatively dependent ran- dom variables and then they proved the case of mean zero by using ... See full document

8

Complete convergence for weighted sums of arrays of rowwise ρ˜ mixing random variables

Complete convergence for weighted sums of arrays of rowwise ρ˜ mixing random variables

... ρ-mixing random variables under mild ...ρ-mixing random variables ˜ is ...for complete convergence for weighted sums of arrays of rowwise ρ-mixing random ... See full document

14

Further study of complete convergence for weighted sums of PNQD random variables

Further study of complete convergence for weighted sums of PNQD random variables

... P(X > x, Y > y) ≤ P(X > x)P(Y > y) (.) for all x, y ∈ R are equivalent. Obviously, if f and g are Borel functions both of which are monotone increasing (or both are monotone decreasing), then f (X) and g(Y ... See full document

7

Complete convergence and complete moment convergence for weighted sums of m NA random variables

Complete convergence and complete moment convergence for weighted sums of m NA random variables

... for weighted sums of ...strong convergence of a weighted ...for weighted sums of ...of weighted sums of ... See full document

14

Strong convergence properties for ψ mixing random variables

Strong convergence properties for ψ mixing random variables

... some dependent sequences, such as negatively associated sequences, nega- tively superadditive dependent sequences, ρ-mixing sequences, ˜ ϕ-mixing sequences, and ˜ so ...for weighted ... See full document

14

Complete convergence for Sung’s type weighted sums of END random variables

Complete convergence for Sung’s type weighted sums of END random variables

... the complete convergence results for Sung’s type weighted sums of sequences of END random variables and obtains some new ... See full document

11

Complete Moment Convergence of Weighted Sums for Arrays of Rowwise  Mixing Random Variables

Complete Moment Convergence of Weighted Sums for Arrays of Rowwise Mixing Random Variables

... the complete moment convergence of moving average processes based on a ϕ-mixing random sequence with different ...the complete convergence to the complete moment ... See full document

14

A Strong Limit Theorem for Weighted Sums of Sequences of Negatively Dependent Random Variables

A Strong Limit Theorem for Weighted Sums of Sequences of Negatively Dependent Random Variables

... ND random variables, the notions of ND dependence of random variables have received more and more attention ...NA random variables to the case of ND variables is highly ... See full document

8

On the complete convergence for pairwise negatively quadrant dependent random variables

On the complete convergence for pairwise negatively quadrant dependent random variables

... Motivated by the above works, the main purposes of the paper are to give several gener- alized complete convergence results for pairwise NQD random sequences, which include some well-known results. ... See full document

11

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 Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables

... the complete convergence for partial sums and weighted sums of independent random variables such as Taylor [13], Hu et ...this convergence to partial sums ... See full document

6

Strong convergence results for arrays of rowwise pairwise NQD random variables

Strong convergence results for arrays of rowwise pairwise NQD random variables

... NQD random variables is a family of very wide scope, which contains a pairwise independent random variable sequence and a negatively orthant dependent (NOD) ran- dom variable sequence ... See full document

8

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

... strong convergence results for weighted sums of negatively superadditive dependent random variables are studied without assumption of identical ... See full document

14

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