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Reliability of Confidence Intervals Calculated by Bootstrap and Classical MethodsUsing the FIA 1-Ha Plot Design

机译：使用FIa 1-Ha绘图设计通过Bootstrap和经典方法计算置信区间的可靠性

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In simulation sampling for forest populations using sample sizes for 20, 40, and60 plots respectively, confidence intervals based on the bootstrap (accelerated, percentile, and t-distribution based) were calculated and compared with those based on the classical t confidence intervals for mapped populations and subdomains within those populations. A 68.1 ha mapped population, constructed out of 0.081 ha (1/5 acre) Forest Inventory and Analysis of the USDA Forest Service (FIA) plot measurements at 2 points of time in Maine, United States, at a 64 ha mapped population from Surinam, South America, with only one measurement, were used. The plot designs used were the FIA plot consisting of a 1-ha circular plot subsampled by four 0.0169 ha (1/23 acre) subplots, a 0.081 ha plot that was used in the north east by FIA, and a 10-point cluster of VRP plots that was used in the north central by FIA. The authors recommend use of the classical t confidence intervals even for small sample sizes and less common attributes.

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