Resurrecting Driver Workload, Multivariate Analysis of Test Track Data

2016 ◽  
pp. 337-348
Author(s):  
Jack L. Auflick
Keyword(s):  
Multivariate Analysis ◽  
Test Track ◽  
Driver Workload

Driving Performance and Driver Workload at High Speeds: Results from On-Road and Test Track Studies

2010 ◽  
Vol 54 (24) ◽  
pp. 2071-2074
Author(s):  
Susan T. Chrysler ◽  
Dillon Funkhouser ◽  
Kay Fitzpatrick ◽  
Marcus Brewer
Keyword(s):  
Driving Performance ◽  
Test Track ◽  
High Speeds ◽  
Driver Workload

Driving Performance and Driver Workload at High Speeds: Results from On-Road and Test Track Studies

2010 ◽  
Author(s):  
Susan T. Chrysler ◽  
Dillon Funkhouser ◽  
Kay Fitzpatrick ◽  
Marcus Brewer
Keyword(s):  
Driving Performance ◽  
Test Track ◽  
High Speeds ◽  
Driver Workload

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

1197: Prognostic Value of Hemoglobin Change after Initiation of Androgen Deprivations Therapy for Newly Diagnosed Metastatic Prostate Cancer: A Multivariate Analysis of Swog 8894

2006 ◽  
Vol 175 (4S) ◽  
pp. 385-386
Author(s):  
Tomasz M. Beer ◽  
Bryan H. Goldman ◽  
Catherine M. Tangen ◽  
Lisa B. Bland ◽  
Maha Hussain ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Multivariate Analysis ◽  
Prognostic Value ◽  
Metastatic Prostate Cancer ◽  
Newly Diagnosed

1118: The Incidence and Duration of Postoperative Ileus in Patients Undergoing Radical Cystectomy. A Multivariate Analysis of Contributing Factors

2005 ◽  
Vol 173 (4S) ◽  
pp. 303-303
Author(s):  
Diana Wiessner ◽  
Rainer J. Litz ◽  
Axel R. Heller ◽  
Mitko Georgiev ◽  
Oliver W. Hakenberg ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Radical Cystectomy ◽  
Postoperative Ileus ◽  
Contributing Factors
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