The problems of multivariate sampling arising in the areas of stratified random sampling, two stage sampling, double sampling and response errors formulate as multiobjective convex programming problems with convex objective functions and a single linear constraint with some upper and lower bounds.

The main purpose of this study investigated the relationship between the components(control and leadership) and it was practical and unity study and included 300 staffs in the department of physical education department of Isfahan in 2011,150 persons using at stratified random sampling method was selected proportional to size. Collection data’s tools, cybernetic model questionnaires which its p...

Validation data are often used to evaluate the performance of a trained neural network and used in the selection of a network deemed optimal for the task at-hand. Optimality is commonly assessed with a measure, such as overall classification accuracy. The latter is often calculated directly from a confusion matrix showing the counts of cases in the validation set with particular labelling prope...

This study assesses the effectiveness of stratification, based on photo-interpreted forest types, for strategic inventory. It uses results (from stratified sampling) for Total Merchantable Volume (TMV) in 18 Inventory Areas in Tasmanian State forest. The variance of the TMV as determined from stratified sampling is compared with the estimated variance of a simple random sample using the same nu...