aThus, based on the central limit theorem, if Nc is large, the time domain samples have a Gaussian distribution and may have large amplitudes. Large peaks of the time domain samples lead to saturation of the high power amplifier. To evaluate the large peaks in the OFDM signal of the pth ...
Erratum: ''Globally coupled chaos violates the law of large numbers but not the central-limit theorem'' [Phys. Rev. Lett. 65 , 1391 (1990)] Kaneko K. Globally coupled chaos violates the law of large numbers but not the central-limit theorem. Phys Rev Lett. 1990;65:1391-1394. doi:...
Central limit theorem Invariance principle Mixing conditions Strictly stationary process 1. Introduction and notations Let (Ω,F,μ) be a probability space. If T:Ω→Ω is one-to-one, bi-measurable and measure preserving (in the sense that μ(T−1(A))=μ(A) for all A∈F), then the...
aIn Section 7.2 you used the Central Limit Theorem and knowledge of the population distribution to determine the percentage of sample means that are within certain distances of the population mean. 在第7.2部分您使用人口分布的中心极限定理和知识确定的样品平均的百分比在人口平均的某些距离之间。[translate...
Inthiscase,thesamplespaceisS={M,F} Probabilitydistributionsusedtounderstand,model,andpredictoutcomesofrandomexperiments.Manyusefuldistributionsfordescribingrandomprocessesinenvironmentalscience&mgt.Example:HazardousWaste HazardousWasteDepository:testwells-monitorgroundwaterforleaks.Aldicarblimit=30ppb...
This (adiabatic) approximation is ubiquitous in physics [13], [14], [15]. In brief, it means we can ignore temporal correlations in the fast fluctuations and assume—by the central limit theorem—that they have a Gaussian distribution. This equips the fluctuations with a probability density,...
Central limit theorem; Invariance principle; Mixing conditions; Strictly stationary process; 机译:中心极限定理;不变性原理;混合条件;严格平稳过程; 入库时间 2022-08-18 15:13:25 相似文献 外文文献 中文文献 专利 1. A strictly stationary β-mixing process satisfying the central limit theorem but not...
Nominal significance threshold was P o0.05, and we calculated false discovery rates (FDR) for the main tests by using the QVALUE programme http:// github.com/jdstorey/qvalue. As we have large samples (n4200), para- metric statistical methods were applied based on the central limit theorem...
Within the context of this study, we can assume firstly that the probability distribution characterizing ES i follows a normal distribution because of the central limit theorem (JCGM/WG1 2008) and secondly that u c (ES i ) is a reasonably reliable estimate of the standard deviation of the no...
Our central goal is to understand how much, or how little, models may rely on covariates of interest (X1) while still predicting well. In Figure 1-A, this range of possible MR values is shown by the highlighted interval along the x-axis. We refer to an interval of this...