Parameter Estimation in Minification Processes


Autoria(s): Balakrishna, N; Jacob,T M
Data(s)

17/03/2011

17/03/2011

2003

Resumo

In this article it is proved that the stationary Markov sequences generated by minification models are ergodic and uniformly mixing. These results are used to establish the optimal properties of estimators for the parameters in the model. The problem of estimating the parameters in the exponential minification model is discussed in detail.

Identificador

0361-0926

Communications in Statistics - Theory and Methods, Volume 32, Issue 11 January 2003 , pages 2139 - 2152

http://dyuthi.cusat.ac.in/xmlui/purl/2105

Idioma(s)

en

Publicador

Taylor & Francis

Palavras-Chave #Consistent and asymptotically normal estimators #Ergodicity #Exponential distribution #Minification models #Uniformly mixing sequences
Tipo

Working Paper