A New Statistical Model for Predicting Customer Octane Satisfaction Using Trained-Rater Observations General Motors Research Laboratories, Warren, MI

Format:

Conference/Event

Author/Creator:

Rodriguez, Robert N., author.

Conference Name:

1980 SAE International Fall Fuels and Lubricants Meeting and Exhibition (1980-10-20 : Baltimore, Maryland, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1980

Summary:

Customer-determined and rater-determined octane number requirements have historically-been compared by the Coordinating Research Council (CRC) using the N+1 and Quantified approaches. However, these analysis techniques oversimplify the relationship between customer and rater octane number requirements because they do not consider the bivariate and nonnormal nature of the data.Using a new statistical technique designed specifically for the analysis of bivariate nonnormal data, a model of the relationship between customer and rater octane number requirements has been developed. The model utilizes data from the 1978 CRC Customer/Rater Octane Number Requirement Program and was verified by "prediction" of the results from a similar CRC program conducted in 1975. Based on rater data from the 1979 CRC Octane Number Requirement Survey, the model predicts that 91 percent of the customers driving 1979 model year cars are satisfied with 91 Research octane number (RON) unleaded gasoline

Notes:

Vendor supplied data

Publisher Number:

801356

Access Restriction:

Restricted for use by site license