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Please use this identifier to cite or link to this item: http://purl.org/purl/2105

Title: Parameter Estimation in Minification Processes
Authors: Balakrishna, N
Jacob,T M
Science
Keywords: Consistent and asymptotically normal estimators
Ergodicity
Exponential distribution
Minification models
Uniformly mixing sequences
Issue Date: 2003
Publisher: Taylor & Francis
Abstract: 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.
URI: http://dyuthi.cusat.ac.in/xmlui/purl/2105
ISSN: 0361-0926
Appears in Collections:Dr.N. Balakrishna

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