Objective Propose a method that combines the propensity score approach and non-parametric survival analysis for hazard ratio estimation in non-randomized medical researches.
目的提出一种适用于非随机化医学研究的，结合倾向指数与非参数生存分析估计风险比的方法。
In this paper we build chlorophyll-a models based on TM data, in which the traditional band ratio approach and mixing spectral analysis model were used.
由于经验模型的缺陷性，还提出了基于TM数据的水体混合光谱分析模型，同时分析了端元光谱提取方法对模型求解的影响。
Based on the analysis of noise characteristics of the power signals, an approach to modeling the signal-to-noise ratio (SNR) is proposed and corresponding theory is demonstrated.
在分析功耗信号的噪声特点以后，提出了一个信噪比(SNR)的建模方法和相应理论的证明。
应用推荐