3 options
Density estimation by free-knot spline functions / Hanfeng Gong.
LIBRA HA001 2002 .G638
Available from offsite location
LIBRA Diss. POPM2002.36
Available from offsite location
- Format:
- Book
- Manuscript
- Microformat
- Thesis/Dissertation
- Author/Creator:
- Gong, Hanfeng.
- Language:
- English
- Subjects (All):
- Penn dissertations--Statistics.
- Statistics--Penn dissertations.
- Penn dissertations--Managerial science and applied economics.
- Managerial science and applied economics--Penn dissertations.
- Local Subjects:
- Penn dissertations--Statistics.
- Statistics--Penn dissertations.
- Penn dissertations--Managerial science and applied economics.
- Managerial science and applied economics--Penn dissertations.
- Physical Description:
- ix, 79 pages ; 29 cm
- Production:
- 2002.
- Summary:
- Free knot spline functions are used to estimate the underlying density function of a random sample. The logarithm of the density is expressed by a linear combination of natural spline basis functions. Knot locations are considered to be unknown parameters. They, as well as linear coefficients, are estimated from the data by the maximum likelihood method. Confidence bands for the estimated density are constructed. Simulation studies show this method performs well with regard to accuracy and coverage probability. We apply this method to find the density of arrival times of incoming calls to an Israeli bank's call center.
- Notes:
- Adviser: Linda Zhao.
- Thesis (Ph.D. in Statistics) -- University of Pennsylvania, 2002.
- Includes bibliographical references.
- Local Notes:
- University Microfilms order no.: 3043875.
- OCLC:
- 244972682
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.