一个研究动植物量变化的新模型
Researching data on changes in flora and fauna of a new model
对貂的年捕获量的数据进行时间序列分析,结合已知数据的统计特征,数据的自回归系数和数据线性判别等步骤进行模型识别,论文采用门限自回归的方法对数据进行数学建模。由于门限自回归模型的编程极其复杂,论文综合貂的生物特征,直接给出了延迟步数重要特征值,并结合点值图法和黄金分割法,相继给出门限个数和门限值,从而很好地简洁了模型的处理过程并得到了较好的拟合与预测,进而为一般的生物数据分析提出一个实用简单的建模方法.
Of the annual catch mink data time series analysis, combined with the known statistical characteristics of data, data from the regression coefficients and data, such as linear discriminant model to identify the steps, then the paper uses the data to set up the threshold auto-regressive by the mathematical model. As the threshold auto-regressive model of programming is extremely complex, the paper makes use of biological characteristics of the mink and gives the important characteristic value-- delay steps. Combined with the way of points map and golden section method, we obtain the number of threshold and the threshold value, so, we simplify the model and get a good fitting and forecasting. Finally we develop a simple modeling method to solution a general analysis of biological data.
胡勤
生物科学研究方法、生物科学研究技术动物学
门限自回归点值图法黄金分割法
threshold regressionthe way of points mapgolden section method
胡勤.一个研究动植物量变化的新模型[EB/OL].(2009-07-31)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200907-673.点此复制
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