[PDF] Top 20 On the weak law of large numbers for normed weighted sums of I I D random variables
Has 10000 "On the weak law of large numbers for normed weighted sums of I I D random variables" found on our website. Below are the top 20 most common "On the weak law of large numbers for normed weighted sums of I I D random variables".
On the weak law of large numbers for normed weighted sums of I I D random variables
... Weighted sums of independent and identically distributed random variables, weak law of large numbers, convergence in probability, random indices, strong law of large numbers, almost cert[r] ... See full document
12
On the complete convergence for weighted sums of a class of random variables
... strong law is a fundamental theorem in probability theory and has been intensively investigated in several directions by many authors in the past ...strong law of large ... See full document
12
Estimates of the approximation of weighted sums of conditionally independent random variables by the normal law
... Carlo, random graphs, combinatorics, cod- ing theory and kinetic theory of gases - the researchers have tried to continuously general- ize this kind of ...normal law, the main lines of research can be ... See full document
21
Some limit theorems for weighted negative quadrant dependent random variables with infinite mean
... investigate weak laws of large numbers for weighted pairwise NQD random variables with infinite ...normalized weighted sum of pairwise NQD nonnegative random ... See full document
11
Strong laws of large numbers for weighted sums of random elements in normed linear spaces
... STRONG LAWS OF LARGE NUMBERS FOR WEIGHTED SUMS OF RANDOM ELEMENTS IN NORMED LINEAR SPACES ANDRE ADLER.. Department of Mathematics Illinois Institute of Technology Chicago, Illinois 60616[r] ... See full document
23
On Complete Convergence for Weighted Sums of Mixing Random Variables
... for weak invariance principle, Sen 6, 7 for weak convergence of empirical processes, Shao 8 for almost sure invariance principles, Hu and Wang 9 for large deviations, and so ...independent ... See full document
13
On the Strong Laws for Weighted Sums of Mixing Random Variables
... strong law of large numbers, Wu 4, 5, Peligrad and Gut 6, and Gan 7 have studied almost sure convergence, Utev and Peligrad 8 have established maximal inequalities and the invariance principle, An ... See full document
8
On strong law of large numbers and growth rate for a class of random variables
... strong law of large numbers for a class of random variables satisfying the maximal moment inequality with exponent ...strong law of large numbers and the ... See full document
11
Further study of complete convergence for weighted sums of PNQD random variables
... strong law of large numbers; Wang et ...Marcinkiewicz’s weak law of large numbers; Wu [] obtained the strong convergence properties of Jamison weighted ... See full document
7
The moment of maximum normed randomly weighted sums of martingale differences
... nonnegative random variable, we investigate the randomly weighted sums of martingale differences under some weakly ...ρ-mixing random variables to the case of randomly weighted ... See full document
13
The Hájek Rènyi inequality and strong law of large numbers for ANA random variables
... partial sums and weak convergence, Wang and Zhang [] established the law of the iterated logarithm, and Yuan and Wu [] showed the limiting behavior of the maximum of partial ... See full document
9
Conditional convergence for randomly weighted sums of random variables based on conditional residual h integrability
... the weak law of large numbers for a sequence of pairwise independent random ...the weak law of large numbers to hold for certain special dependent sequences ... See full document
11
Strong Laws for Weighted Sums of Negative Dependent Random Variables
... Since the conception of PND sequences contains independent and negatively associated sequences, which have a lot of applications, e.g. in reliability theory, Percolation theory and multivariate statistical analysis, ... See full document
6
Chover-type laws of the k-iterated logarithm for weighted sums of strongly mixing sequences
... the Law of the k-Iterated Logarithm for strongly mixing ...of random variables with common distribution in the domain of attraction of the normal distri- bution and tail index γ ∈ (0, 2); however, ... See full document
14
Inequalities for sums of adapted random fields in Banach spaces and their application to strong law of large numbers
... independent random vari- ables can be applied to sequences consisting of independent ...of large numbers to blockwise-martingale difference arrays in Banach ...of random variables and ... See full document
14
On Strong Law of Large Numbers for Dependent Random Variables
... Since the definition of complete convergence was introduced by Hsu and Robins, there have been many authors who devote themselves to the study of the complete convergence for sums of independent and dependent RVs ... See full document
13
ON THE LAWS OF LARGE NUMBERS FOR DEPENDENT RANDOM VARIABLES
... strong law of large numbers (SLLN) for pairwise independent and strongly uniformly integrable ...for weighted sums of an array of rowwise negatively dependent ...for weighted ... See full document
5
Some strong laws of large numbers for weighted sums of asymptotically almost negatively associated random variables
... Remark . The methods used in this paper are the Khintchine-Kolmogorov type con- vergence theorem and the three series theorem for AANA random variables, which are partially the same as that in Jajte [] ... See full document
11
Precise lim sup behavior of probabilities of large deviations for sums of i i d random variables
... for sums of ...Cramér-Chernoff-Donsker-Varadhan-Bahadur-Zabell large deviation principle when the laws of the random variables converge weakly and satisfy a uniform exponential integrability ... See full document
12
On the Convergence Rate of the Law of Large Numbers for Sums of Dependent Random Variables
... In this paper, we generalize some results of Chandra and Goswami [4] for pairwise negatively dependent random variables (henceforth r.v.’s). Furthermore, we give Baum and Katz’s [1] type results on estimate ... See full document
6
Related subjects