13. A Primer in Sampling

  1. James R. Thompson

Published Online: 29 NOV 2011

DOI: 10.1002/9781118109656.ch13

Empirical Model Building: Data, Models, and Reality, Second Edition

Empirical Model Building: Data, Models, and Reality, Second Edition

How to Cite

Thompson, J. R. (2011) A Primer in Sampling, in Empirical Model Building: Data, Models, and Reality, Second Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118109656.ch13

Publication History

  1. Published Online: 29 NOV 2011
  2. Published Print: 24 OCT 2011

ISBN Information

Print ISBN: 9780470467039

Online ISBN: 9781118109656

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Keywords:

  • bootstrap;
  • resampling;
  • sampling;
  • stratification;
  • tracking poll;
  • warehouse

Summary

The increasing uses of sampling are quite significant. Most of the time, the opinion polls are amazingly accurate in assessing the current opinion of the electorate even though the sample is a tiny fraction, of the electorate. Frequently, when looking at public opinion polling, there may be some advantage to taking an exponentially weighted moving average approach. The tracking poll is really an exploratory device. Suppose we want to estimate the total of voters favoring a candidate. Or, we could be carrying out a survey to determine an estimate for the total value of items in m warehouses. The stratification is a common inventory survey, which might be required for the payment of <i>ad valorem</i> taxes. A general assumption, frequently a fair approximation, is that the coefficient of variation is constant across each warehouse. The bootstrap essentially works for one great purpose: assessing variation and its surrogates.

Controlled Vocabulary Terms

Bootstrap algorithm