ACADSTAFF UGM
| Title | : | Simulation Study for Boundary Effect Density Estimation |
| Author | : |
KARTIKO (1) Prof. Drs. Suryo Guritno, M.Stats., Ph.D. (2) Prof. Dr.rer.nat. Dedi Rosadi, S.Si., M.Sc. (3) Dr. Abdurakhman (4) |
| Date | : | 1 2013 |
| Keyword | : | kernel, boundary points, Champernowne kernel, boundary points, Champernowne |
| Abstract | : | Density estimation based on data is often use in engineering, finance, biomedical and social science data. People use parametric fit which specify the form of the density in advance, which very often is incorrect. Along with the development of computing software people can easily do the nonparametric methods, that rely heavily on computing but free from model assumptions. Kernel smoothing refers to a general class of techniques for non- parametric estimation of density functions. For certain univariate set of data that one wants to display graphically, using kernel function as the weight, this method can be used and is known as kernel density estimation. Estimation in the boundary points suffer a large bias, however a special treatment is needed. Simulation study is conducted to see that champernowne transformation can do the job properly. |
| Group of Knowledge | : | Statistik |
| Original Language | : | English |
| Level | : | Internasional |
| Status | : |
Published
|