Average values, sum of arrays and comparisons (in square brackets), standard deviations (SD) and coefficients of variation (CV) of each GeneChip type are printed in bold italics.
Autocorrelation of discrete projections, and by analogy, cross-correlation, follows definition (1), where role of array values is replaced by the projected sums of array values.
In this paper, we obtain complete convergence results for weighted sums of arrays of rowwise negatively dependent random variables.
In this section, we provide complete convergence for weighted sums of arrays of rowwise ρ ˜ -mixing random variables.
The main purpose of the paper is to provide complete convergence for weighted sums of arrays of rowwise ρ ˜ -mixing random variables.
Some sufficient conditions of complete convergence for weighted sums of arrays of rowwise pairwise NQD random variables are presented without assumption of identical distribution.
The main purpose of the present investigation is to provide the complete convergence results for weighted sums of arrays of rowwise pairwise negatively quadrant dependent random variables.
The main purpose of this paper is to further study the complete convergence for weighted sums of arrays of rowwise ρ ˜ -mixing random variables under mild conditions.
We give some sufficient conditions for complete convergence for weighted sums of arrays of rowwise ρ ˜ -mixing random variables without assumption of identical distribution.
