Advanced search
Publication Cover
Journal of Statistical Computation and Simulation Volume 82, 2012 - Issue 12
Submit an article Journal homepage
270
Views
9
CrossRef citations to date
0
Altmetric
Original Articles

Multi-objective optimization for optimum allocation in multivariate stratified sampling with quadratic cost

Saman Khowaja Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, IndiaCorrespondence[email protected]
,
Shazia Ghufran Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India
&
M. J. Ahsan Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India
Pages 1789-1798 | Received 23 Feb 2011, Accepted 07 Jun 2011, Published online: 14 Jul 2011

Citations (9)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (3)

Neha Gupta & Abdul Bari. (2017) Fuzzy multi-objective optimization for optimum allocation in multivariate stratified sampling with quadratic cost and parabolic fuzzy numbers. Journal of Statistical Computation and Simulation 87:12, pages 2372-2383.
Read now
Shafi Ullah & Ravi P. Agarwal. (2016) Multi-objective geometric programming approach in multivariate stratified sample survey with quadratic cost function. Journal of Statistical Computation and Simulation 86:10, pages 1840-1855.
Read now
Shazia Ghufran, Saman Khowaja & M.J. Ahsan. (2015) Optimum multivariate stratified double sampling design: Chebyshev's Goal Programming approach. Journal of Applied Statistics 42:5, pages 1032-1042.
Read now

Articles from other publishers (6)

Syed Aqib Jalil, Ahteshamul Haq, Ali Al Owad, Nausheen Hashmi & Nitesh Kumar Adichwal. (2023) A hierarchical multi-level model for compromise allocation in multivariate stratified sample surveys with non-response problem. Knowledge-Based Systems 278, pages 110839.
Crossref
Yashpal Singh Raghav, Ahteshamul Haq & Irfan Ali. (2023) Multiobjective intuitionistic fuzzy programming under pessimistic and optimistic applications in multivariate stratified sample allocation problems. PLOS ONE 18:4, pages e0284784.
Crossref
Srikant Gupta, Ahteshamul Haq & Rahul Varshney. (2022) Problem of Compromise Allocation in Multivariate Stratified Sampling Using Intuitionistic Fuzzy Programming. Annals of Data Science.
Crossref
Shazia Ghufran, Srikant Gupta & Aquil Ahmed. (2020) A fuzzy compromise approach for solving multi-objective stratified sampling design. Neural Computing and Applications 33:17, pages 10829-10840.
Crossref
Guosheng Zhang, Jing wang, Ying Xue, Chongliang Zhang, Binduo Xu, Yuan Cheng & Yiping Ren. (2020) Comparison of sampling effort allocation strategies in a stratified random survey with multiple objectives. Aquaculture and Fisheries 5:3, pages 113-121.
Crossref
Abdul Alim & Diwakar Shukla. 2020. Intelligent Computing Applications for Sustainable Real-World Systems. Intelligent Computing Applications for Sustainable Real-World Systems 237 248 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.