7 Statistical analysis of censored environmental data

Michael G. Akritas, Thomas F. Ruscitti, G. P. Patil

Research output: Contribution to journalReview article

13 Citations (Scopus)

Abstract

Censored data commonly occurs in environmental studies when pollutant levels fall below the detection (or reporting) limits of instrumentation. Estimation of population parameters, inference, and other analyses of censored data sets are problematic. Various methods for parameter estimation are surveyed, including simple substitution of detection limits; maximum likelihood estimators; and probability plotting. Estimation of location difference in the 2-sample case is presented in the framework of extensions of the nonparametric Hodges-Lehmann estimator. Various regression methods for censored data are discussed, including maximum likelihood; Buckley-James; least absolute deviations; and Theil-Sen regression. Selected examples, proposed new methods, and an extended bibliography are included throughout.

Original languageEnglish (US)
Pages (from-to)221-242
Number of pages22
JournalHandbook of Statistics
Volume12
DOIs
StatePublished - Dec 1 1994

Fingerprint

Censored Data
Maximum likelihood
Statistical Analysis
Statistical methods
Bibliographies
Regression
Parameter estimation
Least Absolute Deviation
Population parameter
Detection Limit
Substitution reactions
Pollutants
Instrumentation
Maximum Likelihood Estimator
Maximum Likelihood
Substitution
Parameter Estimation
Estimator

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation
  • Applied Mathematics

Cite this

Akritas, Michael G. ; Ruscitti, Thomas F. ; Patil, G. P. / 7 Statistical analysis of censored environmental data. In: Handbook of Statistics. 1994 ; Vol. 12. pp. 221-242.
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7 Statistical analysis of censored environmental data. / Akritas, Michael G.; Ruscitti, Thomas F.; Patil, G. P.

In: Handbook of Statistics, Vol. 12, 01.12.1994, p. 221-242.

Research output: Contribution to journalReview article

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