Title of article :
Values below detection limit in compositional chemical data Original Research Article
Author/Authors :
J. Palarea-Albaladejo، نويسنده , , J.A. Mart?n-Fern?ndez، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
12
From page :
32
To page :
43
Abstract :
Samples representing part of a whole, usually called compositional data in statistics, are commonplace in analytical chemistry—say chemical data in percentage, ppm, or μg g−1. Their distinctive feature is that there is an inherent relationship between all the analytes constituting a chemical sample as they only convey relative information. Some compositional data analysis principles and the log-ratio based methodology are outlined here in practical terms. Besides, one often finds that some analytes are not present in sufficient concentration in a sample to allow the measuring instruments to effectively detect them. These non-detects are usually labelled as “
Keywords :
Log-normal distribution , Expectation-Maximisation algorithm , Detection limits , Log-ratio approach , Imputation methods , Compositional data
Journal title :
Analytica Chimica Acta
Serial Year :
2013
Journal title :
Analytica Chimica Acta
Record number :
1029212
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