Revisiting a statistical shortcoming when fitting the langmuir model to sorption data

Journal of Environmental Quality

Volumn 37, Issue 5, 2008, Pages 1986-1992

  Bolster, Carl H ^a  

^a US Department of Agriculture Agricultural Research Service   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERICS; CURVE FITTING; ERROR ANALYSIS; FOOD PROCESSING; GEODESY; LEAST SQUARES APPROXIMATIONS; PARAMETER ESTIMATION; REGRESSION ANALYSIS; SOIL MECHANICS; SOILS; SORPTION; STATISTICAL METHODS;

DATA FITTINGS; LANGMUIR MODEL; LEAST-SQUARES REGRESSIONS; MULTIPLE REGRESSIONS; NON-LINEAR LEAST SQUARES; POTENTIAL IMPACTS; REACTIVE SOLUTES; REGRESSION METHODS; SOIL SAMPLES; SORPTION DATA; STATISTICAL DIFFERENCES;

GEOLOGIC MODELS;

PHOSPHORUS;

ARTICLE; ERROR; INFORMATION PROCESSING; LANGMUIR MODEL; MODEL; MULTIPLE REGRESSION; PARAMETER; PREDICTOR VARIABLE; REGRESSION ANALYSIS; SAMPLE; SOIL; STATISTICAL ANALYSIS;

ADSORPTION; ENVIRONMENTAL MONITORING; ENVIRONMENTAL POLLUTANTS; MODELS, STATISTICAL; REGRESSION ANALYSIS;

EID: 51849118399     PISSN: 00472425     EISSN: None     Source Type: Journal    
DOI: 10.2134/jeq2007.0461     Document Type: Article

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