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The Effect Evaluation of Density Estimation through Non-Gaussian Measurement
- Source :
- Applied Mathematics & Information Sciences. 8:761-764
- Publication Year :
- 2014
- Publisher :
- Natural Sciences Publishing, 2014.
-
Abstract
- How to test the effect of density estimation methods is the key problem in the statistics. This paper presents a new criterion for assessing the effect of density estimation to select the suitable density e stimation method, using the maximum-entropy non-Gaussian measurement. Comparing withχ 2 -test and Dn-test, the method avoids the problem of the data interval division, and it is su itable for any type probability distribution. Simulation results show that the proposed me thod can accurately discriminate the pros and cons of different density estimation methods..
- Subjects :
- Numerical Analysis
Mathematical optimization
Applied Mathematics
Gaussian
Interval (mathematics)
Density estimation
Division (mathematics)
Multivariate kernel density estimation
Computer Science Applications
symbols.namesake
Computational Theory and Mathematics
symbols
Probability distribution
Algorithm
Analysis
Mathematics
Subjects
Details
- ISSN :
- 23250399 and 19350090
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Applied Mathematics & Information Sciences
- Accession number :
- edsair.doi...........3882d4aa760fb27be5a5e00c7b81be7b