Dealing with missing data in MSPC: Several methods, different interpretations, some examples

Journal of Chemometrics

Volumn 16, Issue 8-10, 2002, Pages 408-418

  Arteaga, Francisco ^a   Ferrer, Alberto ^b  

^a UNIVERSITY OF VALENCIA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Missing data, sensor failure; Multivariate statistical process control (MSPC); NIPALS; Principal component analysis (PCA)

Indexed keywords

COVARIANCE MATRIX; ITERATIVE METHODS; MULTIVARIANT ANALYSIS; STATISTICAL PROCESS CONTROL;

CONDITIONAL MEANS; MISSING DATA; MISSING DATA, SENSOR FAILURE; MULTIVARIATE STATISTICAL PROCESS CONTROL; NIPALS; PRINCIPAL COMPONENT ANALYSE; PRINCIPAL-COMPONENT ANALYSIS; REPLACEMENT METHODS; SENSORS' FAILURES;

PRINCIPAL COMPONENT ANALYSIS;

ANALYTICAL ERROR; CONFERENCE PAPER; DATA ANALYSIS; MODEL; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PROCESS CONTROL; REGRESSION ANALYSIS; SENSOR;

EID: 0036685755     PISSN: 08869383     EISSN: None     Source Type: Journal    
DOI: 10.1002/cem.750     Document Type: Conference Paper

References (13)

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