Abstract

In this paper, the problem of non-response with significant travel costs in multivariate stratified sample surveys has been formulated of as a Multi-Objective Geometric Programming Problem (MOGPP). The fuzzy programming approach has been described for solving the formulated MOGPP. The formulated MOGPP has been solved with the help of LINGO Software and the dual solution is obtained. The optimum allocations of sample sizes of respondents and non respondents are obtained with the help of dual solutions and primal-dual relationship theorem. A numerical example is given to illustrate the procedure.

Highlights

  • In sampling the precision of an estimator of the population parameters depends on the size of the sample and variability among the units of the population

  • The fuzzy programming approach has been described for solving the formulated Multi-Objective Geometric Programming Problem (MOGPP) and the optimum allocations of sample sizes of respondents and non respondents are obtained

  • This paper provides an insightful study of fuzzy programming for solving the multi-objective geometric programming problem (MOGPP)

Read more

Summary

Introduction

In sampling the precision of an estimator of the population parameters depends on the size of the sample and variability among the units of the population. Varshney et al [9] formulated the multivariate stratified random sampling in the presence of non-response as a Multi-objective Integer Nonlinear Programming problem and a solution procedure is developed using lexicographic goal programming technique to determine the compromise allocation. Varshney et al [11] have considered the multivariate stratified population with unknown strata weights and an optimum sampling design is proposed in the presence of non-response to estimate the unknown population means using DSS strategy and developed a solution procedure using Goal Programming technique and obtained an integer solution directly by the optimization software LINGO. We have formulated the problem of non-response with significant travel cost where the cost is quadratic in nh in multivariate stratified sample surveys as a Multi-Objective Geometric Programming problem (MOGPP).

Formulation of the Problem
Geometric Programming Formulation
Primal-Dual Relationship Theorem
Fuzzy Geometric Programming Approach
Numerical
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.