Parameter estimation for finite-parameter stationary random fields

1986 ◽  
Vol 23 (A) ◽  
pp. 311-318
Author(s):  
M. Rosenblatt

The concept of strong mixing is used to obtain a generalization of results on the asymptotic distribution of finite-parameter estimates of linear processes and extend them for stationary sequences and random fields.

1986 ◽  
Vol 23 (A) ◽  
pp. 311-318
Author(s):  
M. Rosenblatt

The concept of strong mixing is used to obtain a generalization of results on the asymptotic distribution of finite-parameter estimates of linear processes and extend them for stationary sequences and random fields.


2020 ◽  
Vol 49 (4) ◽  
pp. 106-116
Author(s):  
Lyudmyla Sakhno

This paper is concerned with the estimation of integral functionals of the fourth order spectral densities for stationary random fields based on tapered data. The considered functionals are related, in particular, to the problem of parameter estimation in the spectral domain. The main focus is on the bias of the proposed estimators, conditions for their consistency are also discussed.


Extremes ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 391-411 ◽  
Author(s):  
Chengxiu Ling

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