A MATHEMATICAL PROGRAMMING APPROACH IN OPTIMUM STRATIFICATION UNDER NEYMAN ALLOCATION FOR TWO STRATIFYING VARIABLES

  • Faizan Danish Research Consultation Services, Doha, Qatar
  • .E.H. Rizvi 2,3Division of Statistics and Computer science, Faculty of Basic Sciences, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India
  • Manish Kumar Sharma Division of Statistics and Computer science, Faculty of Basic Sciences, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India
  • Sudhakar Dwivedi Division of Agricultural Economics and ABM, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India
  • Bupesh Kumar Division of Plant Breeding and Genetics, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India
  • Sanjeev Kumar Division of Plant Breeding and Genetics ACRA, Dhiansar, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India
Keywords: Optimum Stratification, Dynamic Programming, Auxiliary Information

Abstract

The current study discusses the solution for obtaining stratification points under Neyman allocation having one study variable and two auxiliary variables. Using dynamic programming approach non-linear programming problem has been solved. The proposed technique has gained in precision rather than using only one auxiliary variable. Numerical illustration has been given in which each of the auxiliary variable is supposed to follow different distribution. Through the empirical study, the proposed method has been compared with the Ravindra and Sukhatme (1969) and Khan et al.(2005) methods with the conclusion of having its more relative efficiency.

 

Published
2019-12-10
Section
Articles