摘要
分析了回归预测中相关度、精确度与样本数量三者之间的关系，得出了２个关系模型。其一是相关度和精确度对样本数量的影响模型；其二是相关度和样本数量对精确度的影响模型。研究了在预测对象及影响因素确定的情况下，若要提高预测精度，应收集的样本资料，或在预测单位样本资料确定的条件下，提高预测精确度。并作了实例分析。
Analysing the relationship between the correlation degree, the precision, the sample size in regression forecast, two models are obtained. The first is that the correlation degree and the precision have an effect on the sample size, the second is that the correlation degree and the sample size have effect the precision. The main researching aim is to raise the forecast precision, and to lower the forecast cost. The practical example has been analysed.
出处
《大庆石油学院学报》
CAS
北大核心
1997年第3期73-75,共3页
Journal of Daqing Petroleum Institute
关键词
回归预测
相关度
精确度
样本数量
关系模型
应用
regression forecast, correlation degree, precision, sample size, relationship model, application
