Polynomial Principal Component Regression: An approach to Analysis and Interpretation of Complex Mixture Relationships in Multivariate Environmental Data

Vogt, N.B.

doi:10.1016/0169-7439(89)80116-9

Cited by 41 publications

(5 citation statements)

References 13 publications

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“…On the whole, the coefficient (β) generated by PCR appears to give a better understanding in term of the precursor role, while MLR produces better understanding for the effects of meteorological variables. [14,26] …”

Section: Discussionmentioning

confidence: 98%

The Seasonal Variation of the Concentrations of Ozone, Sulfur Dioxide, and Nitrogen Oxides in Two Nigerian Cities

Raheem

Adekola

Obioh

2008

Environ Model Assess

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A combination of multivariate statistical methods including factor analysis, principal component analysis, principal component regression, and multiple linear regression (MLR) were employed to evaluate the influence of seasons on the concentrations of ozone, sulfur (IV) oxide, and oxides of nitrogen in ambient air of Nigerian cities of Lagos and Ilorin. The former city is located in the coastal area, and it is highly congested with a high intensity of marine, vehicular, and industrial activities, and the latter city is a medium size town, located in the central guinea savannah zone of Nigeria. Samples were collected using a high-volume sampler from near the ground at various sites of diverse human and industrial activities, during wet and dry seasons from 2003 to 2006. The PCA reveals three distinct groupings during the day for all data, which is a reflection of different factors contributing to the atmospheric chemistry of these cities. The predicted ozone concentration values by MLR agree fairly well with the measured data. The dependence of ozone on meteorological parameters including relative humidity, air temperature, and sun exposure and the precursor pollutants depends on weather and the anthropogenic activities. The results for the two cities indicate that reduction in the level of NO 2 is accompanied by an increase in the level of ozone, suggesting the interconversion between the two via photochemical activity.

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Section: Discussionmentioning

confidence: 98%

The Seasonal Variation of the Concentrations of Ozone, Sulfur Dioxide, and Nitrogen Oxides in Two Nigerian Cities

Raheem

Adekola

Obioh

2008

Environ Model Assess

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“…Several methods have been proposed for analysing many spectra statistically. Among them, multiple regression, principal component regression (PCR), and PLS regression have been widely adopted in chemometrics [31][32][33][34][35][36][37][38][39][40].…”

Section: Analysis Of Absorption Spectramentioning

confidence: 99%

Broadband FIR absorption spectra of low‐density polyethylene sheets containing six different antioxidants and estimation of their contents by chemometric analysis

Ogishima¹,

Kuroda²,

Hirai

et al. 2019

High Voltage

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Antioxidants are usually added to polymeric insulating materials to suppress oxidative degradation. However, the details of antioxidant added to a polymer are often not disclosed. On the other hand, compared to mid-infrared absorption spectroscopy, terahertz (THz) absorption spectroscopy, and far-infrared (FIR) absorption spectroscopy have not been performed so often. Based on the above backgrounds, six different kinds of antioxidants were added into low-density polyethylene sheets with four different contents, and their THz and FIR absorption spectra were measured. As a result, it has become clear that each antioxidant shows its specific absorption peaks, by which the antioxidants can be identified. Furthermore, the antioxidant content can be estimated by the absorption intensity of the specific peak. A chemometric analysis can make the estimation more accurately than a simple comparison of absorption intensity.

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“…One of such receptor-modeling technique is principal component analysis (PCA) [Einax and Geiss, 1997;Jackson, 1991;Norman, 1987]. This is often combined with multiple linear regression (MLR), principal component regression (PCR), and partial least square regression, which have been demonstrated as powerful tools for handling several environmental problems, especially source apportioning [Otto, 1999;Timm, 1985;Vogt, 1989].…”

Section: Introductionmentioning

confidence: 99%

Indoor and Outdoor Air Pollution

Balmes¹,

Eisner²

2016

Murray and Nadel's Textbook of Respiratory Medicine

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José Antonio Orosa graduated in Marine Engineer and Naval Architecture at the University of A Coruña. His Ph.D. has proved the possibilities of energy saving with permeable coverings. Today, he is Head of the Department of Energy of the University of A Coruña. During the last years he has participated in the International Energy Agency Annex 41 and collaborated with the INEGA and IDEMEC of the University of Porto in research about indoor air quality.

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Polynomial Principal Component Regression: An approach to Analysis and Interpretation of Complex Mixture Relationships in Multivariate Environmental Data

Cited by 41 publications

References 13 publications

The Seasonal Variation of the Concentrations of Ozone, Sulfur Dioxide, and Nitrogen Oxides in Two Nigerian Cities

The Seasonal Variation of the Concentrations of Ozone, Sulfur Dioxide, and Nitrogen Oxides in Two Nigerian Cities

Broadband FIR absorption spectra of low‐density polyethylene sheets containing six different antioxidants and estimation of their contents by chemometric analysis

Indoor and Outdoor Air Pollution

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