Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

On Cluster Sampling Strategies Using Ancillary Information

D. K. Aggarwal and Padam Singh
Sankhyā: The Indian Journal of Statistics, Series B (1960-2002)
Vol. 44, No. 2 (Aug., 1982), pp. 184-192
Published by: Springer on behalf of the Indian Statistical Institute
Stable URL: http://www.jstor.org/stable/25052251
Page Count: 9
  • Download ($43.95)
  • Cite this Item
On Cluster Sampling Strategies Using Ancillary Information
Preview not available

Abstract

Two sampling schemes using auxiliary variables for cluster sampling (CAS or CBS system) have been proposed. In one of the schemes, the auxiliary variable is used in selecting the clusters whereas in the other the elements within the clusters are selected using the auxiliary variable. The efficiencies of the proposed sampling schemes as compared to the conventional cluster sampling with equal probabilities of selection as well as SRSWOR have been worked out empirically for natural as well as constructed populations. It has been observed that for the types of population considered for comparison the performance of the sampling scheme utilising auxiliary variable in selecting elements within clusters is the best of all the sampling schemes considered for comparison.

Page Thumbnails

  • Thumbnail: Page 
[184]
    [184]
  • Thumbnail: Page 
185
    185
  • Thumbnail: Page 
186
    186
  • Thumbnail: Page 
187
    187
  • Thumbnail: Page 
188
    188
  • Thumbnail: Page 
189
    189
  • Thumbnail: Page 
190
    190
  • Thumbnail: Page 
191
    191
  • Thumbnail: Page 
192
    192