07 Random plane geometry -- a gentle introduction 57:57 Pointwise ergodic theorem along a subsequence of integers 46:05 On vertex-transitive graphs with a unique hamiltonian circle 51:10 Learning Tasks in the Wasserstein Space 55:54 Influence of the endothelial surface layer on the motion of ...
AI Al-Omari - 《Journal of Statistical Computation & Simulation》 被引量: 32发表: 2011年 On Bivariate Ranked Set Sampling for Ratio and Regression Estimators Relative performance of bivariate ranked set sampling (BVRSS), with respect to ranked set sampling (RSS) and simple random sampling (SRS...
To improve the semi-randomized Kaczmarz method further, inspired by Chebyshev's (weak) law of large numbers, we apply the simple sampling strategy to the semi-randomized Kaczmarz method, and propose a semi-randomized Kaczmarz method with simple random sampling. In the new method, there is no ...
An improved exponential estimator of finite population mean in simple random sampling using an auxiliary attribute In this paper, we propose an exponential ratio type estimator of the finite population mean when auxiliary information is qualitative in nature. Under simp... LK Grover,P Kaur - 《Appl...
In this paper, a class of hybrid type estimators is proposed in estimating the finite population variance using single auxiliary variable in simple random sampling. Expressions for the bias and the mean square error (MSE) are derived up to the first order of approximation. Theoretically comparisons...
where {δn}n∈N is an independent random sequence in a small interval (−ɛ, ɛ). Assuming that T=Fs0 is ergodic, we would like to know whether for large N, the averages 1N∑n=0N−1f(Tn+δnx) are close to ∫Xf(x)dμ(x) The answer to this question is satisfactory if...
The results reveal that the proposed neutrosophic class of estimators produces more accurate and precise estimates of the neutrosophic population mean than the existing neutrosophic estimators in simple random sampling, which is the ultimate goal of inferential statistics. Keywords: survey sampling; fuzzy ...
simple random sampling; probe station; fault detection; wireless sensor network; probing frequency; Pareto principle Graphical Abstract1. Introduction A wireless sensor network usually consists of a potentially large number of low-cost, low-power nodes, which contain sensing, data processing, and ...
( transformer=model, patch_size=32, dim=1024, mask_prob=0.15, # probability of using token in masked prediction task random_patch_prob=0.30, # probability of randomly replacing a token being used for mpp replace_prob=0.50, # probability of replacing a token being used for mpp with the ...
When calculating the rank correlation, we consider the zero cells to be tied, and then break these (and any other) ties by a random ordering. For the kth of K such random orderings, after computing Spearman’s rank correlation ϕ(k), we obtain the corresponding Pearson correlation r(k)...