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Modeling the U.S. national distribution of waterborne pathogen concentrations with application toCryptosporidium parvum

  • Published:2003-09 Issue:9 Volume:39 Page:
  • ISSN:0043-1397
  • Container-title:Water Resources Research
  • language:en
  • Short-container-title:Water Resour. Res.

Author:

Crainiceanu Ciprian M.1,Stedinger Jery R.2,Ruppert David3,Behr Christopher T.4

Affiliation:

1. Department of Statistical Science; Cornell University; Ithaca New York USA

2. School of Civil and Environmental Engineering; Cornell University; Ithaca New York USA

3. School of Operational Research and Industrial Engineering; Cornell University; Ithaca New York USA

4. eDesign Dynamics LLC; West New York New Jersey USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference58 articles.

1. Effect of Rainfall on Giardia and Cryptosporidium;Atherholt;J. Am. Water Works Assoc.,1998

2. A Markov chain Monte Carlo scheme for parameter estimation and inference in conceptual rainfall-runoff modeling;Bates;Water Resour. Res.,2001

3. Behr , C. T. Modeling Cryptosporidium Concentrations: A Bayesian GLMM of Regional Discrete Count Data Cornell Univ. Ithaca, N. Y. 2001

4. Approximate inference in generalized linear mixed models;Breslow;J. Am. Stat. Assoc.,1993

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