Composite Sampling

A Novel Method to Accomplish Observational Economy in Environmental Studies

  • Ganapati P. Patil
  • Sharad D. Gore
  • Charles Taillie
Part of the Environmental and Ecological Statistics book series (ENES, volume 4)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 1-7
  3. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 9-53
  4. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 55-79
  5. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 81-86
  6. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 87-96
  7. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 97-114
  8. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 115-134
  9. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 135-173
  10. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 175-182
  11. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 183-207
  12. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 209-225
  13. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 227-234
  14. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 235-237
  15. Ganapati P. Patil, Sharad D. Gore, Charles Taillie*
    Pages 239-242
  16. Back Matter
    Pages 243-275

About this book

Introduction

This monograph provides, for the first time, a most comprehensive statistical account of composite sampling as an ingenious environmental sampling method to help accomplish observational economy in a variety of environmental and ecological studies. Sampling consists of selection, acquisition, and quantification of a part of the population. But often what is desirable is not affordable, and what is affordable is not adequate. How do we deal with this dilemma? Operationally, composite sampling recognizes the distinction between selection, acquisition, and quantification. In certain applications, it is a common experience that the costs of selection and acquisition are not very high, but the cost of quantification, or measurement, is substantially high. In such situations, one may select a sample sufficiently large to satisfy the requirement of representativeness and precision and then, by combining several sampling units into composites, reduce the cost of measurement to an affordable level. Thus composite sampling offers an approach to deal with the classical dilemma of desirable versus affordable sample sizes, when conventional statistical methods fail to resolve the problem. Composite sampling, at least under idealized conditions, incurs no loss of information for estimating the population means. But an important limitation to the method has been the loss of information on individual sample values, such as the extremely large value. In many of the situations where individual sample values are of interest or concern, composite sampling methods can be suitably modified to retrieve the information on individual sample values that may be lost due to compositing. In this monograph, we present statistical solutions to these and other issues that arise in the context of applications of composite sampling.

Authors and affiliations

  • Ganapati P. Patil
    • 1
  • Sharad D. Gore
    • 2
  • Charles Taillie
    • 3
  1. 1.Dept. StatisticsPennsylvania State UniversityUniversity ParkUSA
  2. 2.Dept. StatisticsUniversity of PunePuneIndia
  3. 3.Dept. Statistics, Center for Statistical Ecology &Penn State UniversityUniversity ParkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-7628-4
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, Boston, MA
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-1-4419-7627-7
  • Online ISBN 978-1-4419-7628-4