Estimating Percentiles from Environmental Samples when all Observations are Nondetectable.

Abstract

Many environmental sampling problems involve some specified regulatory or contractual limit (RL). Often the interest is in estimating the percentile of the underlying contaminant concentration distribution corresponding to RL. In previous reports, we have discussed the problem of determining a lower 100(1-alpha)% confidence limit for that percentile when no observations are observable, but are all known to be less than DL, where DL is less than RL. In this report we extend those results to the situation in which more than a single detection limit is involved.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1996
Accession Number
ADA310117

Entities

People

  • Dennis E. Smith
  • Kevin C. Burns

Tags

DTIC Thesaurus Topics

  • Binomials
  • Chemical Analysis
  • Confidence Limits
  • Data Science
  • Detection
  • Distribution Functions
  • Environmental Pollutants
  • Information Science
  • Mathematical Analysis
  • Mathematics
  • Normal Distribution
  • Observation
  • Operations Research
  • Random Variables
  • Sampling
  • Statistical Analysis
  • Statistics

Fields of Study

  • Mathematics

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  • Regression Analysis.