Adaptive survey designs for sampling rare and clustered ...
stratum. Systematic sampling attempts to capture the full variability within an area by obtaining samples at some predetermined interval. Adaptive cluster sampling is a relatively new methodology that allows additional units to be sampled, based on preceding sampling observations. The systematic adaptive sampling method ADAPTIVE CLUSTER SAMPLING FOR ESTIMATION OF … Quantitative estimates of abundance for rare plants can be difficult, as the most widely used sampling techniques are ill‐suited for rarity. Adaptive cluster sampling (ACS) can take advantage of the spatial clustering common in rare plant populations to provide more efficient unbiased estimates of population sizes than simple random sampling. Adaptive survey designs for sampling rare and clustered ... The efficiency of adaptive cluster sampling depends firstly on how clustered the population is and, secondly, on the survey design. As a general principle, the more clustered the population is, the more efficient the adaptive cluster sampling is compared with simple random sampling. An adaptive household sampling method for rural African ... Free Online Library: An adaptive household sampling method for rural African communities.(Report) by "African Journal of Food, Agriculture, Nutrition and Development"; Agricultural industry Food/cooking/nutrition Health, general Households Analysis Methods Research Surveys Rural families Sampling (Statistics) Statistical sampling
Adaptive sampling strategies for ecological and environmental studies are described in this paper. The motivations for adaptive sampling are discussed. Developments in this area over recent decades are reviewed. Adaptive cluster sampling and a number of its variations are described. A review of adaptive cluster sampling: 1990–2003 ... Mar 01, 2005 · Adaptive cluster sampling (ACS) is an adaptive sampling scheme which operates under the rule that when the observed value of an initially selected sampling unit satisfies some condition of interest, C, other additional units in some pre-defined accompanying neighborhood are also added to … A general inverse sampling scheme and its application to ... A general inverse sampling scheme and its application to adaptive cluster sampling Article in Australian & New Zealand Journal of Statistics 46(3):483 - 494 · September 2004 with 187 Reads
The contribution of this paper is in the evaluation of an adaptive exploration strategy called adaptive cluster sampling (ACS), which is demonstrated to reduce Thompson (1992) presents a summary of these methods. 8.3.1 Adaptive cluster sampling. When organisms are rare and highly clustered in their geographical In the adaptive cluster sampling, the first level is based on conventional methods as random or systematic. Through detection of a species or interesting 10 Oct 2017 Applying Stratified Adaptive Cluster Sampling using CAPI. UNECE Workshop on Units are expected to be clustered across the survey area. egies (index sampling, simple random sampling, systematic sampling, stratified sampling, adaptive cluster sampling, and a spatially balanced design). We then compared ATS, adaptive cluster sampling (ACS), adaptive two-stage sequential sampling (ATSS), and the currently used stratified random sampling (PDF) ADAPTIVE CLUSTER SAMPLING: AN INTRODUCTION
egies (index sampling, simple random sampling, systematic sampling, stratified sampling, adaptive cluster sampling, and a spatially balanced design). We then compared ATS, adaptive cluster sampling (ACS), adaptive two-stage sequential sampling (ATSS), and the currently used stratified random sampling (PDF) ADAPTIVE CLUSTER SAMPLING: AN INTRODUCTION In adaptive cluster sampling designs, an initial probability sample is selected and, whenever the observed value of the variable of interest satisfies a given condition, units in the neighborhood Adaptive Cluster Sampling: Journal of the American ... Feb 27, 2012 · Simple criteria are given determining when adaptive cluster sampling strategies are more efficient than simple random sampling of equivalent sample size. Motivation for the designs in this article is provided by a wide variety of sampling situations in fields such as ecology, geology, and epidemiology.
In this paper, we study the estimators of the population total in adaptive cluster sampling by using the information of the auxiliary variable. The numerical
