Statistical Methods to Apportion Heavy Metals

Although statistical methods have been and will be important means of determining the sources of airborne heavy metals, these methods are often ill suited to the task. This paper examines the limitations of standard statistical methods in general and regression and factor analysis in particular. New statistical methods must be developed that have a sound physical basis and can overcome or minimize the problems of working with atmospheric data. Examples of such new methods are given.

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