Journal of Advanced Statistics

Download PDF (318.8 KB) PP. 71 - 79 Pub. Date: December 1, 2018

DOI: 10.22606/jas.2018.34003

• A. H. Ansari^*
  Kejriwal Institute of Management and Development Studies, Namkum, Ranchi-834010, India
• Rahul Varshney
  Department of Applied Statistics Babasaheb Bhimrao Ambedkar University, Lucknow 226025, India
• M. J. Ahsan
  Department of Statistics and Operations Research Aligarh Muslim University, Aligarh 202 002, India

The idea of “Mixed Allocation” in stratified sampling was introduced by [4]. The concept was further developed by several authors in different manner. In the present paper the authors worked out the “Compromise Mixed Allocation” for multivariate stratified sampling for more than one. Say “p” characteristics using Dynamic Programming Technique are defined on each population unit. It is assumed that the properties of the strata on which the grouping scheme of [4] is based are prevalent in the multivariate case also. Numerical examples are also presented to illustrate the computational details.

Stratified sampling, optimum allocation, mixed allocation, multivariate stratified sampling, dynamic programming technique, compromise allocation, compromise mixed allocation, relative loss in efficiency

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