A New Theoretical Discrete Growth Distribution with Verification for Microbial Counts in Water
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DOI: 10.1111/j.1539-6924.2008.01194.x
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References listed on IDEAS
- James D. Englehardt, 2002. "Scale Invariance of Incident Size Distributions in Response to Sizes of Their Causes," Risk Analysis, John Wiley & Sons, vol. 22(2), pages 369-381, April.
- James D. Englehardt & Chengjun Peng, 1996. "A Bayesian Benefit‐Risk Model Applied to the South Florida Building Code," Risk Analysis, John Wiley & Sons, vol. 16(1), pages 81-91, February.
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Cited by:
- James D. Englehardt & Ruochen Li, 2011. "The Discrete Weibull Distribution: An Alternative for Correlated Counts with Confirmation for Microbial Counts in Water," Risk Analysis, John Wiley & Sons, vol. 31(3), pages 370-381, March.
- Ali Özyapıcı & Zehra B. Sensoy & Tolgay Karanfiller, 2016. "Effective Root-Finding Methods for Nonlinear Equations Based on Multiplicative Calculi," Journal of Mathematics, Hindawi, vol. 2016, pages 1-7, October.
- Vegard Nilsen & John Wyller, 2016. "QMRA for Drinking Water: 2. The Effect of Pathogen Clustering in Single‐Hit Dose‐Response Models," Risk Analysis, John Wiley & Sons, vol. 36(1), pages 163-181, January.
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