该模型

G. D. Seta
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引用次数: 0

摘要

来自Kristie,来自SBCK的delta-DO,来自SBCK的流量,USGS和文图拉县的测量记录)。模型中使用的回归关系如图所示(p < 0.001, rsquared = 0.81)。在图表中,用绿色和蓝色标注的是用于推导方程的数据;识别数字为SBCK位点代码,后面是测得的平均Chl-a密度。将实际测量的Chl-a密度与模型在图上绘制的等密度线(红色数字表示Chl-a,单位为mg/m)进行比较,可以判断模型的准确性。在我看来,它做了一个合理的工作,但有一个大的相关误差-一个大的误差,尽管有非常高的r平方值,是典型的从对数或半对数回归方程估计的几乎三个数量级范围内扩展的变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Model
from Kristie, delta-DO from SBCK and flow from SBCK, USGS and Ventura County gauging records). The regression relationship used in the model is shown on the graph (p < 0.001, rsquared = 0.81). On the chart, plotted in green and blue, are the data used to derive the equation; the identifying numbers show the SBCK site codes, followed by measured mean Chl-a densities. By comparing actual measured Chl-a density with the model’s lines of equal density plotted on the graph (the red numbers indicate Chl-a in mg/m) the accuracy of the model can be judged. In my opinion it does a reasonable job, but one with a large associated error – a large error, in spite of a very high r-square value, being typical for a variable extending over a range of almost three ordersof-magnitude estimated from a log or semi-log regression equation.
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