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文章基本信息

  • 标题:Optimal Allocation of Stratified Sampling Design Using Gradient Projection Method
  • 本地全文:下载
  • 作者:M. A. Lone ; S. A. Mir ; Imran Khan
  • 期刊名称:Oriental Journal of Computer Science and Technology
  • 印刷版ISSN:0974-6471
  • 出版年度:2017
  • 卷号:10
  • 期号:1
  • 页码:11-17
  • 语种:English
  • 出版社:Oriental Scientific Publishing Company
  • 摘要:This article deals with the problem of finding an optimal allocation of sample sizes in stratified sampling design to minimize the cost function. In this paper the iterative procedure of Rosen’s Gradient projection method is used to solve the Non linear programming problem (NLPP), when a non integer solution is obtained after solving the NLPP then Branch and Bound method provides an integer solution.
  • 关键词:Stratification ; Optimal allocation ; nonlinear programming ; Gradient projection method ; Branch and Bound method and integer allocation
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