Varying kernel density estimation on R+

Details

• Personal Author:
  Mnatsakanov R ; Sarkisian K
• Description:
  In this article a new nonparametric density estimator based on the sequence of asymmetric kernels is proposed. This method is natural when estimating an unknown density function of a positive random variable. The rates of Mean Squared Error, Mean Integrated Squared Error, and the L1-consistency are investigated. Simulation studies are conducted to compare a new estimator and its modified version with traditional kernel density construction. [Description provided by NIOSH]
• Subjects:
  Occupational Health Safety
• Keywords:
  Analytical-methods Analytical-processes Author Keywords: Varying Kernel Density Estimator Delta-sequence L1-consistency Mathematical-models Mean Integrated Squared Error Mean Squared Error Quantitative-analysis Simulation-methods Statistical-analysis Statistical-quality-control

  More +
• ISSN:
  0167-7152
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  82
• Issue:
  7
• NIOSHTIC Number:
  nn:20040789
• Citation:
  Stat Probab Lett 2012 Jul; 82(7):1337-1345
• Contact Point Address:
  Robert Mnatsakanov, Department of Statistics, P.O. Box 6330, West Virginia University, Morgantown, WV 26506, USA
• Email:
  rmnatsak@stat.wvu.edu
• Federal Fiscal Year:
  2012
• NORA Priority Area:
  Public Safety
• Peer Reviewed:
  True
• Source Full Name:
  Statistics & Probability Letters
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:cd304aad0a8676885c0c30e992028623c0018fc1971b804082c6896238970e99eae3b20a94109db92e01e8240896b529612faeaa01df8a3c60a9c04726f1cdb0
• Download URL:
  https://stacks.cdc.gov/view/cdc/193536/cdc_193536_DS1.pdf
• File Type:
  [PDF - 432.79 KB ]