• 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