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<bibitem type="J">   <ARLID>0410056</ARLID> <utime>20240903170613.3</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">Inference about stationary distributions of Markov chains based on divergences with observed frequencies</title>  <specification> <page_count>16 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0297163</ARLID><ISSN>0023-5954</ISSN><title>Kybernetika</title><part_num/><part_title/><volume_id>35</volume_id><volume>3 (1999)</volume><page_num>265-280</page_num><publisher><place/><name>Ústav teorie informace a automatizace AV ČR, v. v. i.</name><year/></publisher></serial>   <author primary="1"> <ARLID>cav_un_auth*0212088</ARLID> <name1>Menéndez</name1> <name2>M. L.</name2> <country>ES</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0015540</ARLID> <name1>Morales</name1> <name2>D.</name2> <country>ES</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0021073</ARLID> <name1>Pardo</name1> <name2>L.</name2> <country>ES</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0101218</ARLID> <name1>Vajda</name1> <name2>Igor</name2> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>     <COSATI>12B</COSATI>    <cas_special> <project> <project_id>PB96-0635</project_id> <agency>DGICYT</agency> <country>ES</country> </project> <project> <project_id>IAA1075709</project_id> <agency>GA AV</agency> <country>CZ</country> <ARLID>cav_un_auth*0012794</ARLID> </project> <project> <project_id>GA102/99/1137</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0004432</ARLID> </project> <research> <research_id>AV0Z1075907</research_id> </research>     <RIV>BB</RIV>      <department>SI</department>   <permalink>http://hdl.handle.net/11104/0130148</permalink>   <ID_orig>UTIA-B 990039</ID_orig>      <arlyear>1999</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 35 č. 3 1999 265 280 Ústav teorie informace a automatizace AV ČR, v. v. i. </unknown> </cas_special> </bibitem>