Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/62266
DC Field | Value | Language |
---|---|---|
dc.contributor | 應數系 | en_US |
dc.creator | 姜志銘 | zh_TW |
dc.creator | Jiang, Thomas J. | en_US |
dc.date | 2013.05 | en_US |
dc.date.accessioned | 2013-12-06T11:06:49Z | - |
dc.date.available | 2013-12-06T11:06:49Z | - |
dc.date.issued | 2013-12-06T11:06:49Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/62266 | - |
dc.description.abstract | The c-characteristic function has been shown to have properties similar to those of the Fourier transformation. We now give a new property of the c-characteristic function of the spherically symmetric distribution. With this property, we can easily determine whether a distribution is spherically symmetric. The exact probability density function of the random mean of a spherically symmetric Ferguson–Dirichlet process with parameter measure over an n-dimensional spherical surface and that over an n-dimensional ball are given. We further give the exact probability density function of the random mean of a Ferguson–Dirichlet process with parameter measure over an n-dimensional ellipsoidal surface and that over an n-dimensional ellipsoidal solid. | - |
dc.format.extent | 440066 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en_US | - |
dc.relation | Journal of Multivariate Analysis, 120(1),216-225 | en_US |
dc.title | Distribution of functionals of a Ferguson-Dirichlet process over an n-dimensional ball | en_US |
dc.type | article | en |
dc.identifier.doi | 10.1016/j.jmva.2013.05.013 | en_US |
dc.doi.uri | http://dx.doi.org/10.1016/j.jmva.2013.05.013 | en_US |
item.grantfulltext | restricted | - |
item.openairetype | article | - |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en_US | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
Appears in Collections: | 期刊論文 |
Files in This Item:
File | Size | Format | |
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216-225.pdf | 429.75 kB | Adobe PDF2 | View/Open |
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