Nonparametric rank regression for analyzing water quality concentration data with multiple detection limits

Environmental Science and Technology

Volumn 45, Issue 4, 2011, Pages 1481-1489

  Fu, Liya ^a,c   Wang, You Gan ^b,c  

^a NORTHEAST NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL METHOD; COMPUTATIONAL BURDEN; CONCENTRATION DATA; DATA SETS; DETECTION LIMITS; DISTRIBUTED DATA; ENVIRONMENTAL DATA; ENVIRONMENTAL MANAGEMENT AUTHORITIES; ESTIMATING FUNCTIONS; IMPUTATION METHODS; LINEAR COMBINATIONS; MULTIPLE DETECTION LIMITS; NON-PARAMETRIC; PARAMETRIC METHOD; REGRESSION MODEL; RIVER BASINS; SMOOTHING METHODS; STATISTICAL ANALYSIS; TEMPORAL CORRELATIONS; UNITED STATES OF AMERICA; WATER QUALITY DATA;

ENVIRONMENTAL MANAGEMENT; NORMAL DISTRIBUTION; REGRESSION ANALYSIS; WATER POLLUTION; WATER QUALITY;

CHEMICAL DETECTION;

AMMONIA; ORGANOPHOSPHATE;

CORRELATION; DATA SET; ENVIRONMENTAL MANAGEMENT; PARAMETERIZATION; REGRESSION ANALYSIS; RIVER WATER; WATER QUALITY;

ARTICLE; ENVIRONMENTAL HEALTH; ENVIRONMENTAL MANAGEMENT; LIMIT OF DETECTION; LOG RANK TEST; MULTIPLE DETECTION LIMIT; NONPARAMETRIC TEST; PH; RIVER BASIN; STATISTICAL DISTRIBUTION; UNITED STATES; WATER ANALYSIS; WATER MANAGEMENT; WATER QUALITY; BIOMETRY; METHODOLOGY; STATISTICAL BIAS; THEORETICAL MODEL;

SUSQUEHANNA RIVER; UNITED STATES;

BIAS (EPIDEMIOLOGY); BIOMETRY; LIMIT OF DETECTION; MODELS, THEORETICAL; RESEARCH DESIGN; STATISTICS, NONPARAMETRIC; UNITED STATES; WATER QUALITY;

EID: 79951660526     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es101304h     Document Type: Article

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