分布的假设 meaning in Chinese
distributional assumption
Examples
- In this paper , a new spectral subtraction method is presented , which breaks the assumption that the noise is gaussian distribution with mean 0 in the original spectral subtraction method
本文针对谱减法中关于噪声是零均值的高斯分布的假设,提出了一种可以打破这一假设的改进谱减算法。 - On the assumption that imagery pixel follows non - normal distribution in high resolution imaging , a new method of phase errors estimation based on higher - order statistics is proposed for sar imagery autofocusing
在高分辨成像情况下，基于图像像素强度服从非高斯分布的假设，提出了一种基于三阶累积量的自聚焦方法。 - First , the standard errors computed under the assumptionthat the error term is independent identical distribution will be biased . second , theassumption of independence is unlikely to satisfied . in the panel data analysis modelwith hierarchical structure , hierarchical effects , nested effects , time effects are seted . then the dissertation deduced parameter estimation and hypothesis test statistic andits probability distribution and analyze the hierarchical panel data set : eastern china , central china and western china are the top level , and the prc ’ s province , cities , and autonomous regions are bottom level
然后针对目前面板数据分析过程中存在的两方面问题,即一方面在利用面板数据模型进行分析时,标准误差的计算是基于误差项相互独立并且同分布的假设,如果误差项是相关的将会造成估计有偏的后果;另一方面关于独立性这一假设本身就难以满足;提出多层嵌套面板数据模型,设定了层效应、嵌套效应以及时间效应参数,研究了多层嵌套模型的参数估计量和假设检验统计量及其分布。