Estimation for the semipareto processes

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Estimation for the semipareto processes

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dc.contributor.author Balakrishna, N
dc.date.accessioned 2011-03-19T09:51:47Z
dc.date.available 2011-03-19T09:51:47Z
dc.date.issued 1998
dc.identifier.issn 0361-0926
dc.identifier.other Communications in Statistics - Theory and Methods, Volume 27, Issue 9 1998 , pages 2307 - 2323
dc.identifier.uri http://dyuthi.cusat.ac.in/xmlui/purl/2107
dc.description.abstract This paper proposes different estimators for the parameters of SemiPareto and Pareto autoregressive minification processes The asymptotic properties of the estimators are established by showing that the SemiPareto process is α-mixing. Asymptotic variances of different moment and maximum likelihood estimators are compared. en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.subject α-mixing en_US
dc.subject consistent and asymptotically normal estimators en_US
dc.subject Ergodicity en_US
dc.subject Pareto process en_US
dc.title Estimation for the semipareto processes en_US
dc.type Working Paper en_US
dc.contributor.faculty Science en_US


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