A Vector Approach to Regression Analysis and Its Application to Heavy-Duty Diesel Emissions AccaMath Services

Format:

Book

Conference/Event

Author/Creator:

McAdams, H. T., author.

Conference Name:

CEC/SAE Spring Fuels & Lubricants Meeting & Exposition (2000-06-19 : Paris, France)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2000

Summary:

An alternative approach is presented for the regression of response data on predictor variables that are not logically or physically separable. The methodology is demonstrated by its application to a data set of heavy-duty diesel emissions. Because of the covariance of fuel properties, it is found advantageous to redefine the predictor variables as vectors, in which the original fuel properties are components, rather than as scalars each involving only a single fuel property. The fuel property vectors are defined in such a way that they are mathematically independent and statistically uncorrelated. The available data set is not considered adequate for the development of a full-fledged emission model. Nevertheless, the data clearly show that only a few basic patterns of fuel-property variation affect emissions and that the number of these patterns is considerably less than the number of variables initially thought to be involved

Notes:

Vendor supplied data

Publisher Number:

2000-01-1961

Access Restriction:

Restricted for use by site license