<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T19:03:58Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/102227" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/102227</identifier><datestamp>2025-07-17T08:47:33Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>Rational characteristic functions and markov chains</dc:title>
   <dc:creator>Vidal Manzano, José</dc:creator>
   <dc:creator>Bonafonte Cávez, Antonio</dc:creator>
   <dc:creator>Losada, N</dc:creator>
   <dc:creator>Rodríguez Fonollosa, José Adrián</dc:creator>
   <dc:creator>Rodríguez Fonollosa, Javier</dc:creator>
   <dc:subject>Àrees temàtiques de la UPC::Enginyeria de la telecomunicació</dc:subject>
   <dc:subject>Telecommunication</dc:subject>
   <dc:subject>Markov chain</dc:subject>
   <dc:subject>Rational characteristic function</dc:subject>
   <dc:subject>Non-linear function</dc:subject>
   <dc:subject>Moment-based linear estimate</dc:subject>
   <dc:subject>Characteristic function</dc:subject>
   <dc:subject>N-states markov chain</dc:subject>
   <dc:subject>Parametric arma model</dc:subject>
   <dc:subject>Density function</dc:subject>
   <dc:subject>Many practical problem</dc:subject>
   <dc:subject>Telecomunicació</dc:subject>
   <dcterms:abstract>Abstract 1 We investigate in this paper how to estimate the density function of a random variable using a parametric ARMA model for its characteristic function. The choice of this model is motivated by the fact that this type of density characterizes the duration of staying at an N-states Markov chain, but the approach is general enough to be applied to many practical problems. Both ML and moment-based linear estimates are derived, the former being based on the optimization of a highly non-linear function. 1.</dcterms:abstract>
   <dcterms:abstract>Peer Reviewed</dcterms:abstract>
   <dcterms:abstract>Postprint (published version)</dcterms:abstract>
   <dcterms:issued>1995</dcterms:issued>
   <dc:type>Conference report</dc:type>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:publisher>. S.N.</dc:publisher>
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