[PDF] Top 20 Further study of complete convergence for weighted sums of PNQD random variables
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Further study of complete convergence for weighted sums of PNQD random variables
... of random variables in the sequence is ...Obviously, PNQD sequence includes many negatively associated sequences, and NA and pairwise independent random sequence are the most common special ... See full document
7
On the strong convergence for weighted sums of negatively superadditive dependent random variables
... will further study the complete convergence for weighted sums of NSD random ...Some complete convergence re- sults for the maximum weighted ... See full document
14
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
Complete convergence for weighted sums of arrays of rowwise ρ˜ mixing random variables
... provide complete convergence for weighted sums of arrays of row- wise ρ-mixing random ...˜ random variables are ... See full document
14
A note on complete convergence of weighted sums for array of rowwise AANA random variables
... convergence of weighted sums for an array of rowwise AANA random variables. The main result of the paper generalizes the Baum-Katz theorem on AANA random variables. Our ... See full document
13
A complete convergence theorem for weighted sums of arrays of rowwise negatively dependent random variables
... (ND) random variables which obtained by Asadian et al., the complete convergence theorem for weighted sums of arrays of rowwise ND random variables is ...the ... See full document
10
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 moment ... See full document
14
The complete convergence for weighted sums of dependent random fields
... distribution, random sampling without replacement, ...associated random variables is the only one among the different types of negative dependence which has the important property of being closed ... See full document
8
On complete convergence for weighted sums of martingale difference random fields
... and Bhaskara Rao []) and M-estimates (see Rao and Zhao []) in linear models, the non- parametric regression estimators (see Priestley and Chao []), etc. So, the study of the limiting behavior of the ... See full document
7
The moment of maximum normed randomly weighted sums of martingale differences
... randomly weighted sums have been an attractive research topic in the literature of applied ...and complete convergence of randomly weighted sums of independent random ele- ... See full document
13
On the Strong Laws for Weighted Sums of Mixing Random Variables
... sure convergence, Utev and Peligrad 8 have established maximal inequalities and the invariance principle, An and Yuan 9 have considered the complete convergence and Marcinkiewicz- Zygmund-type strong ... See full document
8
Strong convergence results for weighted sums of ρ˜ mixing random variables
... a random sample are weighted sums of independent and identically distributed random ...these weighted sums have demonstrated significant progress in probability theory with ... See full document
11
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
On complete convergence and complete moment convergence for weighted sums of \(\rho^{*}\) mixing random variables
... NA random variables. However, for ρ ∗ -mixing random variables, we do not know whether the corresponding exponential inequality holds or not, and so the method of Chen [15] does not work for ρ ... See full document
16
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
Complete convergence for Sung’s type weighted sums of END random variables
... END random vari- ables reduces to the well-known notion of so-called negatively dependent (ND) random variables, which was firstly introduced by Embrahimi and Ghosh []; some properties and limit ... See full document
11
A note on the complete convergence for weighted sums of negatively dependent random variables
... In (.), a ≈ b means that a = O(b) and b = O(a). Theorem . extends the result of Liang and Su [] for negatively associated random variables to negatively dependent case. The proof of the sufficiency part ... See full document
10
On the complete convergence for weighted sums of a class of random variables
... shall study the complete convergence of weighted sums of ran- dom sequence under the assumption that the random variables satisfy the Rosenthal type ... See full document
12
On Complete Convergence for Weighted Sums of Mixing Random Variables
... weak convergence of empirical processes, Shao 8 for almost sure invariance principles, Hu and Wang 9 for large deviations, and so ...independent random variable sequences, there still remains much to be ... See full document
13
Complete Moment Convergence of Weighted Sums for Arrays of Rowwise Mixing Random Variables
... The complete moment convergence of weighted sums for arrays of rowwise ϕ-mixing random variables is ...for complete moment convergence of weighted ... See full document
14
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