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      Chapter

      Stratified Sampling
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      Chapter

      Stratified Sampling

      DOI link for Stratified Sampling

      Stratified Sampling book

      Stratified Sampling

      DOI link for Stratified Sampling

      Stratified Sampling book

      ByYan Lu, Sharon L. Lohr
      BookR Companion for Sampling

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      Edition 1st Edition
      First Published 2021
      Imprint Chapman and Hall/CRC
      Pages 14
      eBook ISBN 9781003228196
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      ABSTRACT

      The survey sampler may know additional information about the population before sampling, such as the gender and major of every student at a university, the percentage of persons in each county who are age 65 or older, or the dollar amount of every loan made by a bank. Stratified sampling uses this additional information about the population to improve the efficiency of the survey design. This chapter shows how to use R functions to allocate and draw stratified samples from a population with proportional, Neyman, optimal, or custom allocation. In addition, it provides code and output for estimating population means, totals, and percentages from the stratified random sampling examples in Chapter 3 of Sampling: Design and Analysis, Third Edition.

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