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<bibitem type="J">   <ARLID>0410585</ARLID> <utime>20240103182224.5</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">On the Newcomb-Benford law in models of statistical data</title>  <specification> <page_count>13 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0297120</ARLID><ISSN>1139-1138</ISSN><title>Revista Mathématica Complutense</title><part_num/><part_title/><volume_id>14</volume_id><volume>2 (2001)</volume><page_num>1-13</page_num><publisher><place/><name>Springer</name><year/></publisher></serial>    <keyword>Newcomb-Benford law</keyword>   <keyword>asymptotic validity</keyword>   <keyword>analytic derivation</keyword>    <author primary="1"> <ARLID>cav_un_auth*0212501</ARLID> <name1>Hobza</name1> <name2>T.</name2> <country>CZ</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>09J</COSATI>    <cas_special> <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>  <abstract language="eng" primary="1">We show that for a large class of data sources, with the scale increasing to the infinity, the distribution law tends weakly to a famous Newcomb-Benford law discovered in a large variety of experimental digital data.</abstract>      <RIV>BD</RIV>      <department>SI</department>   <permalink>http://hdl.handle.net/11104/0130674</permalink>   <ID_orig>UTIA-B 20010054</ID_orig>      <arlyear>2001</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0297120 Revista Mathématica Complutense 1139-1138 1988-2807 Roč. 14 č. 2 2001 1 13 Springer </unknown> </cas_special> </bibitem>