Journal ArticleDOI
Review of receptor model fundamentals
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TLDR
There are several broad classes of mathematical models used to apportion the aerosol measured at a receptor site to its likely sources as discussed by the authors, including tracer element, linear programming, ordinary linear least squares, effective variance least squares and ridge regression.About:
This article is published in Atmospheric Environment.The article was published on 1984-01-01. It has received 429 citations till now. The article focuses on the topics: Multicollinearity & Linear regression.read more
Citations
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Journal ArticleDOI
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
TL;DR: This chapter discusses Detecting Influential Observations and Outliers, a method for assessing Collinearity, and its applications in medicine and science.
Journal ArticleDOI
The relation between ozone, NOx and hydrocarbons in urban and polluted rural environments
TL;DR: A review of insights derived from photochemical models and field measurements can be found in this paper, where the ozone-precursor relationship can be understood in terms of a fundamental split into a NOxsenstive and VOC-sensitive (or NOx-saturated) chemical regimes.
Journal ArticleDOI
Visibility: Science and Regulation
TL;DR: Simpler models representing transport, limiting precursor pollutants, and gas-to-particle equilibrium should be used to understand where and when emission reductions will be effective, rather than large complex models that have insufficient input and validation measurements.
Journal ArticleDOI
Source apportionment and source/sink relationships of PAHs in the coastal atmosphere of Chicago and Lake Michigan
TL;DR: In this article, multivariate statistical techniques were used to investigate source apportionment and source/sink relationships for polycyclic aromatic hydrocarbons (PAHs) in the urban and adjacent coastal atmosphere of Chicago/ Lake Michigan in 1994-1995.
Journal ArticleDOI
PM10 and PM2.5 source apportionment in the Barcelona Metropolitan area, Catalonia, Spain
Xavier Querol,Andrés Alastuey,Sergio Rodríguez,Felicià Plana,Carmen Ruiz,N. Cots,Guillem Massagué,Oriol Puig +7 more
TL;DR: In this article, levels of suspended particles, PM10, PM2.5 and PM1 were continuously monitored at an urban kerbside in the Metropolitan area of Barcelona from June 1999 to June 2000.
References
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Book
Applied Regression Analysis
Norman R. Draper,Harry Smith +1 more
TL;DR: In this article, the Straight Line Case is used to fit a straight line by least squares, and the Durbin-Watson Test is used for checking the straight line fit.
Book
Data Reduction and Error Analysis for the Physical Sciences
TL;DR: In this paper, Monte Carlo techniques are used to fit dependent and independent variables least squares fit to a polynomial least-squares fit to an arbitrary function fitting composite peaks direct application of the maximum likelihood.
Journal ArticleDOI
Data Reduction and Error Analysis for the Physical Sciences.
TL;DR: Numerical methods matrices graphs and tables histograms and graphs computer routines in Pascal and Monte Carlo techniques dependent and independent variables least-squares fit to a polynomial least-square fit to an arbitrary function fitting composite peaks direct application of the maximum likelihood.
Journal ArticleDOI
Ridge regression: biased estimation for nonorthogonal problems
TL;DR: In this paper, an estimation procedure based on adding small positive quantities to the diagonal of X′X was proposed, which is a method for showing in two dimensions the effects of nonorthogonality.
Book
Solving least squares problems
TL;DR: Since the lm function provides a lot of features it is rather complicated so it is going to instead use the function lsfit as a model, which computes only the coefficient estimates and the residuals.
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