Estimation of error blocks in SDH networks

Author(s):  
Jun Teng ◽  
M.S. Obaidat
Keyword(s):  
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.


MAPAN ◽  
2021 ◽  
Author(s):  
Rajeev Dwivedi ◽  
Swati Gangwar ◽  
Shibu Saha ◽  
V. K. Jaiswal ◽  
Ranjana Mehrotra ◽  
...  

1970 ◽  
Vol 74 (1) ◽  
pp. 53-60 ◽  
Author(s):  
H.D Patterson ◽  
Bridger I. Lowe

SUMMARYYield (or other variate) values from crops recurring on the same plots in long-term experiments are subject to correlations known as serial plot correlations. Neglect of these plot correlations can result in loss of efficiency in the estimation of treatment effects and bias in the estimation of error.Serial plot correlations are calculated from 12 experiments on arable crops in England and Wales, for yields 4, 6 or 8 years apart. They are usually positive, with average value 0·2. In one set of experiments the losses in efficiency caused by plot correlations of this magnitude are shown to be small, but some of the biases in the estimates of error are large. Biases in the variances of treatment means can be wholly or partly eliminated by separating two components of error, plot error and plot x year error.


2012 ◽  
Vol 6 (3(8)) ◽  
pp. 41-42
Author(s):  
Світлана Сергіївна Ткаченко

Author(s):  
Ravi P. Tetambe ◽  
C. Rajakumar

Abstract Application of error estimation in acoustical analysis is shown. Based on the Zienkiewicz-Zhu1 error estimator for stress analysis, a procedure for predicting the error in pressure distribution computed from a frequency domain analysis of acoustic cavities is outlined. Examples are presented to illustrate the usefulness of the error estimator in adaptively meshing the acoustic domain to minimize the error at different excitation frequencies.


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