Optimal sampling design for spatial capture–recapture

Determination of Optimal Sampling Design for Spatial Data Analysis

Extended Abstract. Inferences for spatial data are affected substantially by the spatial configuration of the network of sites where measurements are taken. Consider the following standard data-model framework for spatial data. Suppose a continuous, spatially-varying quantity, Z, is to be observed at a predetermined number, n, of points ....[ To Countinue Click here]

Sensitivity Analysis of Spatial Sampling Designs for Optimal Prediction

In spatial statistic, the data analyzed which is correlated and this correlation is due to their locations in the studied region. Such correlation that is related to distance between observations is called spatial correlation. Usually in spatial data analysis, the prediction of the amount of uncertain quantity in arbitrary 4locations of the area is considered according to attained observations ...

An Optimal Spatial Sampling Design for Social Surveys

Bayesian Spatial Sampling Design

This paper presents a model-based approach to the problem of the optimal choice of a spatial sampling design in the presence of uncertainty about the distribution of the observations. Our approach, which is based on the polar spectral decomposition of stationary isotropic random fields, makes it possible to represent the spatial error process by a linear regression model with (infinitely many) ...

Design of Economic Optimal Double Sampling Design with Zero Acceptance Numbers

  In zero acceptance number sampling plans, the sample items of an incoming lot are inspected one by one. The proposed method in this research follows these rules: if the number of nonconforming items in the first sample is equal to zero, the lot is accepted but if the number of nonconforming items is equal to one, then second sample is taken and the policy of zero acceptance number would be ap...