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Some Multi Convex Programming Problems Arising in Multivariate Sampling

by Manoj Kr. Sharma, M. V. Ismail
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 21
Year of Publication: 2013
Authors: Manoj Kr. Sharma, M. V. Ismail
10.5120/10201-4848

Manoj Kr. Sharma, M. V. Ismail . Some Multi Convex Programming Problems Arising in Multivariate Sampling. International Journal of Computer Applications. 61, 21 ( January 2013), 1-6. DOI=10.5120/10201-4848

@article{ 10.5120/10201-4848,
author = { Manoj Kr. Sharma, M. V. Ismail },
title = { Some Multi Convex Programming Problems Arising in Multivariate Sampling },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 21 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number21/10201-4848/ },
doi = { 10.5120/10201-4848 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:11.748527+05:30
%A Manoj Kr. Sharma
%A M. V. Ismail
%T Some Multi Convex Programming Problems Arising in Multivariate Sampling
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 21
%P 1-6
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
  1. Hartley,H. O. (1965). Multiple purpose optimum allocation in stratified sampling. Proceeding of the Social Statistics Section, American Statistical Association 258-261.
  2. Kokan, A. R. and Khan, S. (1967) Optimum allocation in multivariate surveys: An analytical solution. Journal of the Royal Statistical Society, Series B 29, 115-125.
  3. Chatterjee, S. (1972). A Study of Optimum Allocation in Multivariate Stratified Surveys. Skandinavisk Actuarietidskrift. 55, 73-80.
  4. Bethel, J. W. (1989). Sample Allocation in Multivariate Surveys. Survey Methodology, 15(1), 46-57.
  5. Rahim M. A. ,Use of distance function to optimize sample allocation in multivariate surveys: a new perspective, on www. amstat. org/selections/srms/Proceedings/papers/1995-061
  6. Charnayak. O. I. & Chornous G. (2000) . Optimal allocation in Stratified sampling with a non-linear cost function. Theory of Stochastic Processes. 6(22), 3?4, 6?17.
  7. Khan, M. G. M. and Ahsan, M. J. (2003). A Note on Optimum Allocation in Multivariate Stratified Sampling. South Pacific Journal of Natural Science. 21, 91-95.
  8. Optimum Allocation in Two-stage and Stratified Two-stage Sampling for Multivariate Surveys by M. G. M. Khan, Munish A. Chand, and Nesar Ahmad School of Computing, Information and Mathematical Sciences Faculty of Science and Technology, The University of the South Pacific Suva, Fiji, 2006.
  9. Khan. M. G. M. , Khan, E. A. & Ahsan, M. J. ( 2008). Optimum allocation in multivariate stratified sampling in presence of Non-response J. Ind. Soc. Aggril. Statist. 62(1), 42-48.
  10. Charles Day D. (2010) "A Multi-Objective Evolutionary Algorithm for Multivariate Optimal Allocation", Section Survey Research Method – JSM, 3351-3358.
Index Terms

Computer Science
Information Sciences

Keywords

Multivariate Sampling Stratified sampling Multiobjective convex programming Optimization Linear Programming

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