Allocation in Multivariate Stratified Surveys with Non-Linear Random Cost Function

• 作者: Abdul Bari Irfan Ali Mohammed Faisal Khan Yashpal Singh Raghav
• 来源期刊: 美国运筹学期刊(英文)
• 学科: 数学
• 关键词: STRATIFIED Survey Optimum ALLOCATION COMPROMISE ALLOCATION Stochastic Programming CHANCE Constraints Modified E-MODEL
• 年，卷（期）: mgycxqkyw_2012,（1）
• 页码范围: 100-105
• 页数: 6页
• 分类号: O1

摘要

In this paper, we consider an allocation problem in multivariate surveys with non-linear costs of enumeration as a problem of non-linear stochastic programming with multiple objective functions. The solution is obtained through Chance Constrained programming. A different formulation of the problem is also presented in which the non-linear cost function is minimised under the precision constraints on estimates of various characters. The solution is then obtained by using Modified E-model. A numerical example is solved for both the formulations.