Compromise Allocation for Combined Ratio Estimates of Population Means of a Multivariate Stratified Population Using Double Sampling in Presence of Non-Response
Compromise Allocation for Combined Ratio Estimates of Population Means of a Multivariate Stratified Population Using Double Sampling in Presence of Non-Response作者机构：Department of Statistics & Operations Research Aligarh Muslim University Aligarh India
出 版 物：《Open Journal of Optimization》 (最优化（英文）)
年 卷 期：2014年第3卷第4期
页 面：68-78页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Multivariate Stratified Sampling Compromise Allocation Non-Response Double Sampling Goal Programming Fuzzy Programming
摘 要：This paper is an attempt to work out a compromise allocation to construct combined ratio estimates under multivariate double sampling design in presence of non-response when the population mean of the auxiliary variable is unknown. The problem has been formulated as a multi-objective integer non-linear programming problem. Two solution procedures are developed using goal programming and fuzzy programming techniques. A numerical example is also worked out to illustrate the computational details. A comparison of the two methods is also carried out.
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