Name
Abstract | ||
|---|---|---|
A generally applicable discretization method is proposed to approximate a continuous distribution on a real line with a discrete one, supported by a finite set. The method adopts a criterion which is shown to be flexible in approximating higher order features of the underlying continuous distribution while automatically preserving mean and variance. To illustrate the effectiveness of the method, several examples covering a wide-range continuous distributions are analyzed. A computer implementation (using R) of the proposed procedure is provided. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1080/03610918.2015.1071389 | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION |
Keywords | Field | DocType |
Continuous distribution,Discrete distribution,Higher-order features,Mean and variance,Optimization,Primary 62E17,Secondary 62P30 | Continuous optimization,Discretization,Applied mathematics,Mathematical optimization,Random variable,Finite set,Real line,Probability distribution,Inverse-chi-squared distribution,Statistics,Mathematics,Discretization of continuous features | Journal |
Volume | Issue | ISSN |
45 | 10 | 0361-0918 |
Citations | PageRank | References |
3 | 0.44 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zvi Drezner | 1 | 1195 | 140.69 |
| Dawit Zerom | 2 | 30 | 3.10 |