(TOR). TOR can help researchers and marketing managers by explaining how consumers may interpret visuals in advertising …. TOR explains why some visuals thought to be unconnected with the product become relevant in advertising. This study makes … is used to provide greater explanatory power of consumers' interpretation and response to advertising visuals than what …

The retail sector spends millions of dollars each year advertising to consumers. This is a considerable investment for …

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 …

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 …

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

both simple random and cluster sampling. The BRR estimate of variance is the sum of variances and covariances of unit …-level kNN estimates in the area of interest. In Monte Carlo simulations of simple random and cluster sampling from seven … and Monte Carlo sampling variances was good both for population and for small-area totals. The modified BRR estimator is …

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 …

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