<?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>2026-06-27T10:20:31Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/18294" metadataPrefix="mods">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/18294</identifier><datestamp>2024-07-18T15:05:46Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
   <mods:name>
      <mods:namePart>Fenoy Muñoz, María Del Mar</mods:namePart>
   </mods:name>
   <mods:extension>
      <mods:dateAvailable encoding="iso8601">2023-06-17T22:15:58Z</mods:dateAvailable>
   </mods:extension>
   <mods:extension>
      <mods:dateAccessioned encoding="iso8601">2023-06-17T22:15:58Z</mods:dateAccessioned>
   </mods:extension>
   <mods:originInfo>
      <mods:dateIssued encoding="iso8601">2017</mods:dateIssued>
   </mods:originInfo>
   <mods:identifier type="citation">Fenoy Muñoz, M. M. «The Invariant Optimal Sampling Plan in a Sequentially Planned Decision Procedure». Sequential Analysis, vol. 36, n.o 2, abril de 2017, pp. 194-209. DOI.org (Crossref), https://doi.org/10.1080/07474946.2017.1319680.</mods:identifier>
   <mods:identifier type="issn">07474946</mods:identifier>
   <mods:identifier type="doi">10.1080/07474946.2017.1319680</mods:identifier>
   <mods:identifier type="uri">https://hdl.handle.net/20.500.14352/18294</mods:identifier>
   <mods:identifier type="officialurl">https//doi.org/10.1080/07474946.2017.1319680</mods:identifier>
   <mods:identifier type="relatedurl">http://www.tandfonline.com/doi/abs/10.1080/07474946.2017.1319680</mods:identifier>
   <mods:abstract>We define the invariant sequentially planned decision procedure under a group of measurable transformations. By means of a previous reduction of the problem, we obtain the optimal invariant sequentially planned decision procedure that minimizes the risk function. First we find the solution for the horizon with a maximal number of stages, based on the present information; later, the general case is solved but the solution is based on the past information. Finally, we study the possibility of approximating the general case by a sequence of truncated problems with a maximal number of stages, obtaining a solution based on the present informatio</mods:abstract>
   <mods:language>
      <mods:languageTerm>eng</mods:languageTerm>
   </mods:language>
   <mods:accessCondition type="useAndReproduction">restricted access</mods:accessCondition>
   <mods:titleInfo>
      <mods:title>The invariant optimal sampling plan in a sequentially planned decision procedure</mods:title>
   </mods:titleInfo>
   <mods:genre>journal article</mods:genre>
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