DocumentCode
616844
Title
Eliminating user-interaction in probability density estimation
Author
Barbe, K. ; Gonzales Fuentes, Lee ; Barford, Lee ; Van Moer, Wendy
Author_Institution
Dept. ELEC/M2ESA, Vrije Univ. Brussel, Brussels, Belgium
fYear
2013
fDate
6-9 May 2013
Firstpage
1295
Lastpage
1300
Abstract
Despite the extensive literature, describing the probability content of measurements remains an important topic for engineering problems. The histogram remains the golden standard, even though kernel density estimation is a strong competitor when smooth estimates are desired. Critical user interaction is required for the use of both the histograms and kernel densities. A good choice for the bandwidth is essential in both cases. On top of that the kernel density method requires a proper choice of the kernel. Incorrect choices may lead to incorrect results generated by either masking important details or introducing false details. In this paper, we propose a new approach which requires no user-defined choices. The method is therefore fully automatic and provides the user a smooth density estimate of the probability content.
Keywords
measurement uncertainty; statistical distributions; engineering problems; histogram density method; kernel density estimation; measurement uncertainty; probability density estimation; smooth estimates; user-defined choices; user-interaction elimination; Bandwidth; Distribution functions; Histograms; Kernel; Noise; Polynomials; Probability density function; Data analysis; Histograms; Measurement uncertainty; Non-parametric; Probability density; Probability theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
Conference_Location
Minneapolis, MN
ISSN
1091-5281
Print_ISBN
978-1-4673-4621-4
Type
conf
DOI
10.1109/I2MTC.2013.6555622
Filename
6555622
Link To Document