A Functional Central Limit Theorem for Kernel Type Density Estimators
oleh: István Fazekas, Peter Filzmoser
| Format: | Article |
|---|---|
| Diterbitkan: | Austrian Statistical Society 2016-04-01 |
Deskripsi
Kernel type density estimators are studied for random fields. A functional central limit theorem in the space of square integrable functions is proved if the locations of observations become more and more dense in an increasing sequence of domains.