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Optimal Strategy And Other Problems In Probability Sampling.pdf

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Preview of Optimal strategy and other problems in probability sampling
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Summary

Jaroslav Hájek's paper "Optimal strategy and other problems in probability sampling" discusses the statistician's strategy in probability sampling, which involves choosing a sampling design and estimation method. The paper uses a Bayes approach, measuring accuracy by expected variance with respect to a certain a priori distribution of ascertained values. It derives a general solution for a wide class of admissible sampling designs, estimators, cost functions, and two important assumptions concerning the a priori distribution. The paper defines concepts such as "sample" and "estimate" and derives a general formula for the variance and estimated variance of linear estimates. It also presents a method for improving estimates based on sufficient statistics and discusses two sampling designs with varying probabilities.

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Description

Jaroslav Hájek's paper "Optimal strategy and other problems in probability sampling" discusses the statistician's strategy in probability sampling, which...

Technical Information

  • File Format: PDF
  • File Size: 5.2 MB
  • Pages: 38
  • Language: EN
  • Total Downloads: 255
  • Last Updated: 2 hours ago

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