C.F.I.推定論とベイジアン推定論の関連性について(I) : プロット当り平均材積推定の場合

概要

論文の詳細を見る
The continuous forest inventory (C.F.I.) with the partial replacement estimation theory is one of the most efficient inventory techniques for estimating the average volume per plot. In this paper, the C.F.I. estimator of the average volume per plot, which was derived by WARE and CUNIA is illustrated first. Next, a similar estimator is derived using the Bayesian methodology. These tow estimators are compared, and then the similarities and disparities between them are discussed. From this consideration, it can be recognized that if the correlation between the volume observed on the permanent plot on the initial occasion and that observed on the same plot at the time of remeasurement is high, the C.F.I. estimator may be efficient. If not, or the data on the permanent plots are not available, the Bayesian estimator may provide good results.
日本森林学会の論文
1980-10-25