Systematic sampling is easy, efficient, and widely used, though it is not generally recognized that a systematic sample … of them determine which estimators are unbiased, when using the sampling design as the basis for inference. We describe … selection. When the population size is known at the outset, systematic sampling with unrestricted selection is most likely the …

inventory of fine woody debris (FWD); however, the sampling protocols involve tallying only the number of FWD pieces by size … class that intersect a sampling transect with no measure of actual size. The line intersect estimator used with those … technique known as the graphical estimation (GE) method for estimating FWD QMDs for major forest types across the United States …

Binomial sampling based on the proportion of samples infested was investigated for estimating mean densities of citrus … parameters adequately described a validation data set from a sampling plan consisting of 192 samples. Projections indicated the … fitted parameters would apply to sampling plans with as few as 48 samples, but reducing sample size resulted in an increase …

presence-absence sampling plan with a fixed precision level was developed and can be used to provide a quick estimation of D …. Projections indicated that a sampling plan consisting of 10 trees and eight flush shoots per tree would provide density estimates …

totals. Their efficiency in small-area estimation problems can be poor. In this study, we propose a modified balanced … repeated replication estimator of variance (BRR) of a kNN total that performs well in small-area estimation problems and under … both simple random and cluster sampling. The BRR estimate of variance is the sum of variances and covariances of unit …

In many applications of line intersect sampling, transects consist of multiple, connected segments in a prescribed … illustrated and a consistent sampling protocol, applicable to populations composed of arbitrarily shaped elements, is proposed. It …

estimation of bias and standard error under simple randomsampling and complex sampling. Three con dence intervals are discussed … complex sampling. It begins by looking at sampling in general withspecific focus on complex sampling and weighting. For the … estimation of the welfareindices, two resampling techniques, viz. jackknife and bootstrap, are discussed.They are used for the …

standard and international trade. The estimation results allow us to formulate some interesting policy conclusions. …

Carlo, Latin hypercube sampling with constrained Monte Carlo, and generalized likelihood uncertainty estimation), and …