气候变化领域集成服务门户(CCPortal): An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data

CCPortal

报告编号	70198422
	An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data
	Holtschlag, David J. dholtschlag@usgs.gov
出版日期	2018
出版者	U.S. Geological Survey
页数	42
DOI	10.3133/sir20185053
URL	http://pubs.er.usgs.gov/publication/sir20185053
国家	美国
语种	英语
来源机构	美国地质调查局
文献类型	科技报告
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/87401
作者单位	National Water Quality Program
推荐引用方式 GB/T 7714	Holtschlag, David J. dholtschlag@usgs.gov. An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data:U.S. Geological Survey,2018.