NDLI: Parameter Estimation in Minification Processes

Content Provider	CUSAT-Thesis
Author	Balakrishna, N. Jacob, T. M.
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.
Starting Page	2139
File Format	PDF
ISSN	03610926
Journal	Communications in Statistics - Theory and Methods Volume -
Volume Number	32
Issue Number	11
Language	English
Publisher	Taylor & Francis
Access Restriction	Open
Subject Keyword	Consistent and asymptotically normal estimators Ergodicity Exponential distribution Minification models Uniformly mixing sequences
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability

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