ON THE EXACT AND THE APPROXIMATE MEAN INTEGRATED SQUARE ERROR FOR THE KERNEL DISTRIBUTION FUNCTION ESTIMATOR

Author(s):  
Abdel-Razzaq Mugdadi ◽  
Rawan Bani-Melhem
2006 ◽  
Vol 2006 (suppl_23_2006) ◽  
pp. 175-180
Author(s):  
G. Gómez-Gasga ◽  
T. Kryshtab ◽  
J. Palacios-Gómez ◽  
A. de Ita de la Torre

2002 ◽  
Vol 7 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Antanas Karoblis

The exponential distribution and the Erlang distribution function are been used in numerous areas of mathematics, and specifically in the queueing theory. Such and similar applications emphasize the importance of estimation of error of approximation by the Erlang distribution function. The article gives an analysis and technique of error’s estimation of an accuracy of such approximation, especially in some specific cases.


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