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General q-exponential Model for Tree Height, Volume and Stem Profile

机译:树木高度,体积和茎部轮廓的通用q指数模型

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Two new q-exponential height and q-exponential segmented taper models were developed using q-exponential function. Four height models, six stem volume models, and three taper models were compared to the observed values of height, stem volume and diameter outside bark. The performance statistics of the height, volume and taper equations included four fit statistics: mean bias, mean absolute bias, mean percentage of absolute bias and a coefficient of determination. Data used in this study came from stem analysis on 1925 pine trees. Results show that the q-exponential models were superior to the other used models in predicting height, volume and diameter outside bark. The results are implemented in the symbolic computational language MAPLE.
机译:使用q指数函数开发了两个新的q指数高度和q指数分段锥度模型。将四个高度模型,六个茎杆体积模型和三个锥度模型与树皮外的高度,茎杆体积和直径的观测值进行了比较。高度,体积和锥度方程式的性能统计包括四个拟合统计量:平均偏差,平均绝对偏差,绝对偏差的平均百分比和确定系数。本研究中使用的数据来自对1925棵松树的茎分析。结果表明,q指数模型在预测树皮外的高度,体积和直径方面优于其他模型。结果以符号计算语言MAPLE实现。

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