AV:渐近方差
“渐近方差”(Asymptotic Variance,常缩写为AV)是统计学与概率论中用于描述估计量在大样本条件下方差行为的重要概念。该术语多见于理论推导和学术研究场景,其缩写形式AV便于在公式、图表及文献中进行简洁高效的表达与交流。
Asymptotic Variance具体释义
Asymptotic Variance的英文发音
例句
- And then, its influence function and asymptotic variance - co variance matrix are investigated.
- 然后,研究了该估计的影响函数和渐近方差(AV)&协方差矩阵;
- But with the existence of heteroscedasticity and autocorrelation of unknown form, estimating asymptotic variance consistently can be pretty complicated due to the bandwidth selection and the nuisance parameter estimation.
- 然而,当未知形式的相关性和条件异方差性存在时,带宽的选择和厌恶参数的估计使得一致估计渐进方差变得很复杂。
- The Asymptotic Variance(AV) - covariance Matrix in L_q-norm Estimate and Its Characteristic
- Lq估计的渐近方差(AV)-协方差矩阵及其特点
- An asymptotic minimal variance self-tuning control scheme is used to the circuit of autopilot.
- 采用一种渐近的最小方差自校正控制方案设计导弹自动驾驶仪回路。
- Methods : The survival process was modeled by discrete Markov chain and the asymptotic expectation and variance of log-rank statistics were calculated thereafter. The sample size formula was thus derived.
- 方法:以离散性Markov链拟合生存过程,据此计算log-rank统计量的数学期望和方差,导出样本含量估计公式。
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