Mixture model based multivariate statistical analysis of multiply censored environmental data-Reference-Cited by-同舟云学术

Mixture model based multivariate statistical analysis of multiply censored environmental data

Published:2013-09 Issue: Volume:59 Page:15-24
ISSN:0309-1708
Container-title:Advances in Water Resources
language:en
Short-container-title:Advances in Water Resources

Author:

He Jianxun

Funder

Lakehead University

NSERC

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference33 articles.

1. US Environmental Protection Agency. The national water quality inventory: report to congress for the 2004 reporting cycle; 2004. Report. No. EPA 841-R-08-001.

2. Environment Canada. Water quality status and trends of nutrients in major drainage areas of Canada; 2011. Cat. No.: En154-63/2011E-PDF.

3. Alternatives for handling detection limit data in impact assessments;McBean;Ground Water Monit Rem,1984

4. Estimation of distributional parameters for censored trace level water quality data I. Estimation techniques;Gilliom;Water Resour Res,1986

5. Robust estimation of mean and variance using environmental data sets with below detection limit observations;Singh;Chemom Intell Lab Syst,2002

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