ASTM D6582-00(2005)
Standard Guide for Ranked Set Sampling: Efficient Estimation of a Mean Concentration in Environmental Sampling

Standard No.
ASTM D6582-00(2005)
Release Date
2000
Published By
American Society for Testing and Materials (ASTM)
Status
Replace By
ASTM D6582-00(2005)e1
Latest
ASTM D6582-00(2005)e1
Scope

1.1 This guide describes ranked set sampling, discusses its relative advantages over simple random sampling, and provides examples of potential applications in environmental sampling.

1.2 Ranked set sampling is useful and cost-effective when there is an auxiliary variable, which can be inexpensively measured relative to the primary variable, and when the auxiliary variable has correlation with the primary variable. The resultant estimation of the mean concentration is unbiased, more precise than simple random sampling, and more representative of the population under a wide variety of conditions.

1.3 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.

ASTM D6582-00(2005) Referenced Document

  • ASTM D5792 Standard Practice for Generation of Environmental Data Related to Waste Management Activities: Development of Data Quality Objectives
  • ASTM D6044 Standard Guide for Representative Sampling for Management of Waste and Contaminated Media

ASTM D6582-00(2005) history

  • 2000 ASTM D6582-00(2005)e1 Standard Guide for Ranked Set Sampling: Efficient Estimation of a Mean Concentration in Environmental Sampling
  • 2000 ASTM D6582-00(2005) Standard Guide for Ranked Set Sampling: Efficient Estimation of a Mean Concentration in Environmental Sampling
  • 2000 ASTM D6582-00 Standard Guide for Ranked Set Sampling: Efficient Estimation of a Mean Concentration in Environmental Sampling
Standard Guide for Ranked Set Sampling: Efficient Estimation of a Mean Concentration in Environmental Sampling



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