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Your search keyword '"Yousaf Shad Muhammad"' showing total 2 results
Start Over Author "Yousaf Shad Muhammad" Publisher public library of science (plos)
2 results on '"Yousaf Shad Muhammad"'

1. Multivariate Multi-Objective Allocation in Stratified Random Sampling: A Game Theoretic Approach.

Author

Yousaf Shad Muhammad, Ijaz Hussain, and Alaa Mohamd Shoukry

Subjects
Medicine, Science
Abstract

We consider the problem of multivariate multi-objective allocation where no or limited information is available within the stratum variance. Results show that a game theoretic approach (based on weighted goal programming) can be applied to sample size allocation problems. We use simulation technique to determine payoff matrix and to solve a minimax game.

Published
2016
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2. Multivariate Multi-Objective Allocation in Stratified Random Sampling: A Game Theoretic Approach

Author

Ijaz Hussain, Alaa Mohamd Shoukry, and Yousaf Shad Muhammad

Subjects
Multivariate statistics, Computer science, Vector Spaces, Test Statistics, 0211 other engineering and technologies, lcsh:Medicine, 02 engineering and technology, Graduates, 01 natural sciences, 010305 fluids & plasmas, Random Allocation, Mathematical and Statistical Techniques, lcsh:Science, 021103 operations research, Multidisciplinary, Applied Mathematics, Simulation and Modeling, Normal-form game, Sampling (statistics), Stratified sampling, Physical Sciences, Educational Status, Games, Game theory, Algorithms, Statistics (Mathematics), Research Article, Optimization, Mathematical optimization, Computer Science::Computer Science and Game Theory, Research and Analysis Methods, Game Theory, Goal programming, 0103 physical sciences, Animals, Humans, Statistical Methods, Population Density, Behavior, lcsh:R, Biology and Life Sciences, Minimax, Algebra, Linear Algebra, Sample size determination, Sample Size, Multivariate Analysis, People and Places, Recreation, Population Groupings, lcsh:Q, Mathematics
Abstract

We consider the problem of multivariate multi-objective allocation where no or limited information is available within the stratum variance. Results show that a game theoretic approach (based on weighted goal programming) can be applied to sample size allocation problems. We use simulation technique to determine payoff matrix and to solve a minimax game.

Published
2016

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