A methodology for treating missing data applied to daily rainfall data in the Candelaro River Basin (Italy)

Environmental Monitoring and Assessment

Volumn 160, Issue 1-4, 2010, Pages 1-22

  Lo Presti, Rossella ^a   Barca, Emanuele ^a   Passarella, Giuseppe ^a  

^a WATER RESEARCH INSTITUTE   (Italy)

Author keywords

Missing data; Parametrical regression; Time series; Uncertainty

Indexed keywords

DAILY RAINFALL; FILLING IN; MISSING DATA; MISSING DATA ESTIMATION; MISSING VALUES; MONITORING STATIONS; MULTIPLE IMPUTATION; RAINFALL DATA; RIVER BASINS; SIMILARITY COEFFICIENTS; SIMPLE METHOD; STATISTICAL TECHNIQUES;

EMPLOYMENT; WATERSHEDS;

TIME SERIES;

RAIN;

DATA PROCESSING; ESTIMATION METHOD; PRECIPITATION ASSESSMENT; REGRESSION ANALYSIS; TIME SERIES; UNCERTAINTY ANALYSIS;

ARTICLE; CONTROLLED STUDY; ENVIRONMENTAL MONITORING; ITALY; METHODOLOGY; REGRESSION ANALYSIS; RIVER BASIN; SAMPLE; TIME SERIES ANALYSIS;

ENVIRONMENTAL MONITORING; ITALY; RAIN; RIVERS; STATISTICS AS TOPIC;

ITALY;

EID: 74349121501     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-008-0653-3     Document Type: Article

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