Logistic and linear regression model documentation for statistical relations between continuous real-time and discrete water-quality constituents in the Kansas River, Kansas, July 2012 through June 2015

GSTDTAP > 地球科学

DOI	10.3133/ofr20161040
报告编号	2016-1040
	Logistic and linear regression model documentation for statistical relations between continuous real-time and discrete water-quality constituents in the Kansas River, Kansas, July 2012 through June 2015
	[null]
	2016
出版年	2016
页数	36
语种	英语
国家	美国
出版者	U.S. Geological Survey
领域	资源环境;地球科学
英文摘要	The Kansas River is a primary source of drinking water for about 800,000 people in northeastern Kansas. Source-water supplies are treated by a combination of chemical and physical processes to remove contaminants before distribution. Advanced notificat
URL	查看原文
来源平台	US Geological Survey (USGS)
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/9612
专题	地球科学资源环境科学
推荐引用方式 GB/T 7714	[null]. Logistic and linear regression model documentation for statistical relations between continuous real-time and discrete water-quality constituents in the Kansas River, Kansas, July 2012 through June 2015:U.S. Geological Survey,2016.