Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
193994 | Electrochimica Acta | 2009 | 7 Pages |
Abstract
Nonparametric statistics deals with random observations whose probability distribution is either not known, or unavailable. This paper illustrates a kernel-based estimation of probability density functions (PDF's) for performance evaluation of electrochemical processes, via three quantitative examples.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Thomas Z. Fahidy,