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Use of robust methods in the analysis of suspended particulate air pollution: A case study in Malaysia
Author(s) -
Abdullah Mokhtar,
Sani Sham
Publication year - 1991
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.3770020206
Subject(s) - outlier , particulates , air pollution , pollution , environmental science , least squares function approximation , particulate pollution , statistics , econometrics , mathematics , chemistry , ecology , organic chemistry , estimator , biology
This paper describes several analyses in which a robust method, namely the least median of squares (LMS) has been used in the development of a mathematical model to relate suspended particulate air pollution concentration to meteorological factors. The robust procedure provides a formal method that not only pays due attention to anomalies or outliers in the data but also reduces the influence of the outliers. The study showed that the robust procedure yielded more reliable results than did the classical least squares (LS) approach.