The bootstrap and finite population sampling

Details

• Personal Author:
  McCarthy, Philip J. ; Snowden, Cecelia B.
• Corporate Authors:
  National Center for Health Statistics (U.S.)
• Description:
  Synthetic populations are used to study methods for adapting Efron’s bootstrap estimation technique to finite population sampling. Of particular interest is the extention of these methods to two-stage cluster sampling. Using simulations based on five artificial populations, two variations of bootstrap estimators and two Taylor series variance estimators for a ratio estimator are compared by mean square errors, stability of the variance estimators, and coverage of the confidence intervals. Generally, there appear to be small differences among the variance estimators, except the bootstrap estimators are somewhat less stable than the Taylor series estimators.
• Content Notes:
  [Philip J. McCarthy, Cecelia B. Snowden].
  
  Bibliography: p. 23.
  
  
• Subjects:
  Population Dynamics Probability Random Allocation Sampling Studies Statistics As Topic
• Source:
  Vital and health statistics. Series 2, Data evaluation and methods research ; no. 95 ; DHHS publication ; no. (PHS) 85-1369
• Series:
  Vital and Health Statistics Series
• Document Type:
  Journal Issue
• Pages in Document:
  print; v, 23 p. ; 28 cm.
• Collection(s):
  National Center for Health Statistics
• Main Document Checksum:
  urn:sha-512:acccd1473a8430f549007aafdb363e241c8d116862268451ded554ba6eacee2784ca6231a909c2b65b14d5a5a109f12d4dbe25ccc99b59b6a8abca542dda45fd
• Download URL:
  https://stacks.cdc.gov/view/cdc/12908/cdc_12908_DS1.pdf
• File Type:
  [PDF - 1.71 MB ]