Bayesian modeling of virus removal efficiency in wastewater treatment processes

Water Science and Technology

Volumn 72, Issue 10, 2015, Pages 1789-1795

  Ito, T ^a   Kato, T ^b   Takagishi, K ^b   Okabe, S ^a   Sano, D ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

^b GUNMA UNIVERSITY   (Japan)

Author keywords

Bayesian model; Left censored data; Truncated log normal distribution; Virus removal efficiency; Wastewater treatment

Indexed keywords

BAYESIAN NETWORKS; EFFICIENCY; EFFLUENT TREATMENT; EFFLUENTS; NORMAL DISTRIBUTION; PROBABILITY DISTRIBUTIONS; RECLAMATION; RELIABILITY ANALYSIS; VIRUSES;

BAYESIAN MODEL; BHATTACHARYYA COEFFICIENT; CENSORED DATA; PREDICTIVE DISTRIBUTIONS; PROBABILISTIC DISTRIBUTION; TRUNCATED LOG-NORMAL DISTRIBUTIONS; VIRUS REMOVAL; WASTEWATER TREATMENT PROCESS;

WASTEWATER TREATMENT;

ABUNDANCE ESTIMATION; BAYESIAN ANALYSIS; NUMERICAL METHOD; POLLUTANT REMOVAL; POPULATION DENSITY; POPULATION DISTRIBUTION; PROBABILITY; VIRUS; WASTE TREATMENT; WASTEWATER;

EFFLUENT; HUMAN; KRUSKAL WALLIS TEST; MAJOR CLINICAL STUDY; MODEL; NORMAL DISTRIBUTION; QUANTITATIVE STUDY; VIRUS; WASTE WATER MANAGEMENT; BAYES THEOREM; PROCEDURES; SEWAGE; THEORETICAL MODEL; VIROLOGY; WASTE WATER;

WASTE WATER;

BAYES THEOREM; MODELS, THEORETICAL; WASTE DISPOSAL, FLUID; WASTE WATER;

EID: 84954504815     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2015.402     Document Type: Article

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