An Improvement of a Non-uniform Concentration Inequality for Randomized Orthogonal Array Sampling Designs
- Kittipong Laipaporn
- Kritsada Sungkamongkol
Abstract
Let f be an integrable function from R3 to R and μ = )[0,1]3 f (x)dx. A simple estimator of μ is ˆμ =1
n
n *i=1
f ? Xi where
X1, X2, ...Xn are independent random vectors and uniformly distributed on [0, 1]3. In 2006, Neammanee and Laipaporn
used the orthogonal array to choose the points Xi’s and established a non-uniform concentration inequality. In this article,
we improve their result.
- Full Text: PDF
- DOI:10.5539/jmr.v1n2p78
This work is licensed under a Creative Commons Attribution 4.0 License.
Index
- Academic Journals Database
- ACNP
- Aerospace Database
- BASE (Bielefeld Academic Search Engine)
- Civil Engineering Abstracts
- CNKI Scholar
- COPAC
- DTU Library
- EconPapers
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Google Scholar
- Harvard Library
- IDEAS
- Infotrieve
- JournalTOCs
- LOCKSS
- MathGuide
- MathSciNet
- MIAR
- PKP Open Archives Harvester
- Publons
- RePEc
- ResearchGate
- Scilit
- SHERPA/RoMEO
- SocioRePEc
- Standard Periodical Directory
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- UCR Library
- Universe Digital Library
- WorldCat
Contact
- Sophia WangEditorial Assistant
- jmr@ccsenet.org