bootstrap model

基本解释

The biases between final model estimates and bootstrap values are within 1.18%.
自举验证与最终模型的结果偏差均在1.18%以内。
ANN model was used to analyze time series and BootStrap method was used to improve the precision of prediction.
该方法采用神经网络技术建立时序数据预报模型，并通过重抽样技术提高预报精度。
The smooth transition auto-regression (STAR) model is used to study the dynamic evolution path, and the bootstrap method is used to predict changes of the China's banking fragility.
运用平滑区制转移模型（STAR）研究中国银行体系脆弱性的动态演化路径，并利用自助抽样法对中国未来一段时期银行体系脆弱性的变化进行预测。