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首页> 外文期刊>Forest Science >Use of an Antithetic Variate for Better Location of Upper-Stem Height Measurements with Critical Height and Importance Sampling in Horizontal Line Sampling
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Use of an Antithetic Variate for Better Location of Upper-Stem Height Measurements with Critical Height and Importance Sampling in Horizontal Line Sampling

机译:使用对立变量来更好地定位上线高度测量,并在水平线采样中使用临界高度和重要性采样

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摘要

When critical height importance sampling is used to estimate the volumes of individual trees sampled in horizontal line sampling, upper-stem diameter and height measurements are typically made at randomly chosen locations, which may be difficult to view if they are high on stems located close to the sample line. For more convenient viewing from the sample line, it would be more desirable if upper-stem sample locations were located low on the stem for trees close to the sample line and high on the stem for trees farther away from the sample line, which can be achieved by making random upper-stem sample location a function of the perpendicular distance from the sample line to the sample tree. To do this, a uniform random variate is formed by using the ratio of stem diameter at critical height to basal diameter, where the critical height is the well-known height at which the upper-stem appears to be "borderline" when a point sampling angle gauge is used. The antithetic variate is then formed by subtraction from unity. This antithetic variate will be used to obtain a sample height from an importance sampling distribution. An unbiased estimate of individual tree volume is then obtained by using importance sampling. When the importance sampling volume estimates are used in the horizontal line sampling total volume estimator, an unbiased estimate of total volume is obtained, which is free from volume table bias. A critical height sampling estimator adapted to horizontal line sampling is also presented.
机译:当使用临界高度重要性采样来估计在水平线采样中采样的单个树木的体积时,通常在随机选择的位置进行上树干直径和高度的测量,如果靠近的茎上的树高很高,则可能很难查看样品线。为了更方便地从采样线查看,如果靠近采样线的树木的上茎样本位置位于茎的较低位置,而远离采样线的树木的茎上较高的位置,则更理想。通过将随机的上柄样本位置设置为从样本线到样本树的垂直距离的函数可以实现此目的。为此,通过使用临界高度处的茎直径与基径之比来形成均匀的随机变量,其中临界高度是点采样时上茎看起来是“边界线”的众所周知的高度。使用角度计。然后通过减去1形成对立变量。该对立变量将用于从重要性抽样分布中获取样本高度。然后,通过使用重要性采样来获得单个树体积的无偏估计。当在水平线采样总体积估计器中使用重要性采样量估计时,将获得总体积的无偏估计,该估计没有体积表偏差。还提出了适用于水平线采样的临界高度采样估计器。

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