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                                       Details for article 13 of 20 found articles
 
 
  Estimation of the mean of some stationary markov sequences
 
 
Title: Estimation of the mean of some stationary markov sequences
Author: Adke, S.R.
Balakrishna, N.
Appeared in: Communications in statistics
Paging: Volume 21 (1992) nr. 1 pages 137-159
Year: 1992
Contents: This paper deals with the estimation of the mean e of the stationary distribution of some Markov sequences. In particular, if one can identify the error variables from a given realization of the model, it is possible to obtain improved estimators based on the errors. A two stage procedure for determining the regression parameter without error and then estimating the mean is presented. The conditional least square and the best linear unbiased estimators of e are studied and compared with the traditional timeaverage. The asymptotic properties of these estimators are also established.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 13 of 20 found articles
 
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