Evaluation of Bayesian estimation of a hidden continuous-time Markov chain model with application to threshold violation in water-quality indicators

Journal of Environmental Informatics

Volumn 19, Issue 2, 2012, Pages 70-78

  Deviney, Jr ^a   Brown, D E ^b   Rice, K C ^c  

^a UNIVERSITY OF VIRGINIA   (United States)

^b University of Virginia   (United States)

^c U S GEOLOGICAL SURVEY   (United States)

Author keywords

Bayesian MCMC methods; CTMC; Hidden processes; Shenandoah National Park; Threshold violation; Water quality

Indexed keywords

ACID NEUTRALIZATION; BAYESIAN ANALYSIS; ENVIRONMENTAL INDICATOR; ENVIRONMENTAL MONITORING; EXPERIMENTAL STUDY; MARKOV CHAIN; NATIONAL PARK; NATURAL RESOURCE; PROBABILITY; RESOURCE MANAGEMENT; RETURN PERIOD; STREAMWATER; THRESHOLD; TIME SERIES ANALYSIS; WATER QUALITY;

SHENANDOAH NATIONAL PARK; UNITED STATES; VIRGINIA;

EID: 84865143817     PISSN: 17262135     EISSN: 16848799     Source Type: Journal    
DOI: 10.3808/jei.201200210     Document Type: Article

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