Adaptive sampling results in dramatic improvements in the recovery of sparse signals in white Gaussian noise. A sequential adap-tive sampling-and-refinement procedure called distilled sensing (DS) is proposed and analyzed. DS is a form of multi-stage experimental design and testing. Because of the adaptive nature of the data collection, DS can detect and localize far weaker signals than possibl...

in a subclass of the scale-parameter exponential family, we consider the sequential pointestimation of a function of the scale parameter under the loss function given as the sum of the weightedsquared error loss and a linear cost. for a fully sequential sampling scheme, second order expansions areobtained for the expected sample size as well as for the regret of the procedure. the former resear...

Designing an efficient large-area survey is a challenge, especially in environmental science when many populations are rare and clustered. Adaptive and unequal probability sampling designs are appealing when populations are rare and clustered because survey effort can be targeted to subareas of high interest. For example, higher density subareas are usually of more interest than lower density a...

J. Econ.Entomol.89(6): 1468-1476 (1996) ABSTRACT Sequential sampling plans were developed for use in recommending control of European corn borer, Ostrinia nubilalis (Hiibner), in potato, Solanum tuberosum L., fields based on the distribution of damaged stems. Likelihood ratio tests indicated that the betabinomial distribution (aggregated) provided a better fit than the binomial (random) when th...

Three hypothesis, hereafter labelled threshold-bound hypothesis, drift-rate-change hypothesis and two-stage-processing hypothesis are proposed to account for data from a perceptual discrimination task in which three different response deadlines were involved and three different payoffs were presented prior to each individual trial. The present research is to show how the three different hypothe...

The common-ratio, common-consequence, reflection, and event-splitting effects are some of the best-known findings in decision-making research. They represent robust violations of expected utility theory, and together form a benchmark against which descriptive theories of risky choice are tested. These effects are not currently predicted by sequential sampling models of risky choice, such as dec...

We describe an algorithm for the sequential sampling of entries in multiway contingency tables with given constraints. The algorithm can be used for computations in exact conditional inference. To justify the algorithm, a theory relates sampling values at each step to properties of the associated toric ideal using computational commutative algebra. In particular, the property of interval cell c...

In this paper we introduce a new sequential sampling plan based on sequential probability ratio test for fuzzy hypotheses testing. In order to deal with uncertainty happened, the triangular fuzzy number (TFN) is used to express the fuzzy phenomenon of the sampling plan’s parameters. In this plan the acceptable quality level (AQL) and the lot tolerance percent defective (LTPD) are TFN. For such ...