| dc.creator (作者) | 吳柏林 | zh_TW |
| dc.creator (作者) | Carbon, Michel ; Tran, Lanh Tat ; Wu, Berlin | - |
| dc.date (日期) | 1997 | en_US |
| dc.date.accessioned | 24-Dec-2008 13:30:42 (UTC+8) | - |
| dc.date.available | 24-Dec-2008 13:30:42 (UTC+8) | - |
| dc.date.issued (上傳時間) | 24-Dec-2008 13:30:42 (UTC+8) | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/18711 | - |
| dc.description.abstract (摘要) | Kernel-type estimators of the multivariate density of stationary random fields indexed by multidimensional lattice points space are investigated. Sufficient conditions for kernel estimators to converge uniformly are obtained. The estimators can attain the optimal rates L∞ of convergence. The results apply to a large class of spatial processes. | - |
| dc.format | application/ | en_US |
| dc.language | en | en_US |
| dc.language | en-US | en_US |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Statistics & Probability Letters, Volume 36, Issue 2, 1 December 1997, Pages 115-125 | en_US |
| dc.title (題名) | Kernel density estimation for random fields (density estimation for random fields) | en_US |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1016/S0167-7152(97)00054-0 | - |
| dc.doi.uri (DOI) | https://doi.org/10.1016/S0167-7152(97)00054-0 | - |
