Multivariate Records Based on Dominance
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Multivariate Records Based on Dominance |
2. | Creator | Author's name, affiliation, country | Hsien-Kuei Hwang; Academia Sinica Taipei; Taiwan, Province of China |
2. | Creator | Author's name, affiliation, country | Tsung-Hsi Tsai; Academia Sinica Taipei; Taiwan, Province of China |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Multivariate records, Pareto optimality, central limit theorems, Berry-Esseen bound, partial orders, dominance |
3. | Subject | Subject classification | 60C05 60F05 60G70 |
4. | Description | Abstract | We consider three types of multivariate records in this paper and derive the mean and the variance of their numbers for independent and uniform random samples from two prototype regions: hypercubes $[0,1]^d$ and d-dimensional simplex. Central limit theorems with convergence rates are established when the variance tends to infinity. Effective numerical procedures are also provided for computing the variance constants to high degree of precision. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | National Science Council of Taiwan |
7. | Date | (YYYY-MM-DD) | 2010-11-16 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ejp.ejpecp.org/article/view/825 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v15-825 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 15 |
12. | Language | English=en | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
|