Diversity index estimation by adaptive sampling

摘要: The use of diversity indices is adopted in surveys on biological population to quantify species diversity. However, when the clustered and spread a very wide area, usual sampling designs provide estimators with large variances. In this case, if study area partitioned into frame sub-areas, suitable design constituted by adaptive sampling. ensures that abundance vector estimator unbiased more accurate than obtained simple random corresponding index estimator, which can be viewed as function biased for finite samples. Accordingly, we propose jackknife procedure order reduce bias.