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 :
بازگشت