Limiting Distributions of Deviations of Kernel-Type Density Estimators

Author(s):  
E. A. Nadaraya
1977 ◽  
Vol 72 (358) ◽  
pp. 420-423 ◽  
Author(s):  
W. R. Schucany ◽  
John P. Sommers

1983 ◽  
Author(s):  
J. S. Rustagi ◽  
S. Dynin

2016 ◽  
Vol 35 (4) ◽  
Author(s):  
István Fazekas ◽  
Peter Filzmoser

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.


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