<?xml version="1.0" encoding="utf-8" ?> <rss version="2.0" xmlns:opensearch="http://a9.com/-/spec/opensearch/1.1/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"> <channel> <title> <![CDATA[Indian Institute Of Management, Shillong Search for 'su:{Mathematical statistics.}']]> </title> <!-- prettier-ignore-start --> <link> /cgi-bin/koha/opac-search.pl?q=ccl=su%3A%7BMathematical%20statistics.%7D&#38;sort_by=relevance&#38;format=rss </link> <!-- prettier-ignore-end --> <atom:link rel="self" type="application/rss+xml" href="/cgi-bin/koha/opac-search.pl?q=ccl=su%3A%7BMathematical%20statistics.%7D&#38;sort_by=relevance&#38;format=rss" /> <description> <![CDATA[ Search results for 'su:{Mathematical statistics.}' at Indian Institute Of Management, Shillong]]> </description> <opensearch:totalResults>3</opensearch:totalResults> <opensearch:startIndex>0</opensearch:startIndex> <opensearch:itemsPerPage>50</opensearch:itemsPerPage> <atom:link rel="search" type="application/opensearchdescription+xml" href="/cgi-bin/koha/opac-search.pl?q=ccl=su%3A%7BMathematical%20statistics.%7D&#38;sort_by=relevance&#38;format=opensearchdescription" /> <opensearch:Query role="request" searchTerms="q%3Dccl%3Dsu%253A%257BMathematical%2520statistics.%257D" startPage="" /> <item> <title> Applied predictive modeling / </title> <dc:identifier>ISBN:9781461468486 (alk. paper)</dc:identifier> <!-- prettier-ignore-start --> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=4905</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/1461468485.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> By Kuhn, Max..<br /> New York : Springer, 2013 .<br /> xiii, 600 p. : 24 cm..<br /> 9781461468486 (alk. paper) </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=4905">Place hold on <em>Applied predictive modeling /</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=4905</guid> </item> <item> <title> Practical data science with R / </title> <dc:identifier>ISBN:9789351194378</dc:identifier> <!-- prettier-ignore-start --> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=4978</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/935119437X.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> By Zumel, Nina..<br /> SNew Delhi: Dreamtech press, 2014 .<br /> xxv, 389 pages : 24 cm.<br /> 9789351194378 </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=4978">Place hold on <em>Practical data science with R /</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=4978</guid> </item> <item> <title> Time series with long memory / </title> <dc:identifier>ISBN:0199257299 | 0199257302 (pbk.)</dc:identifier> <!-- prettier-ignore-start --> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=5052</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/0199257299.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> Oxford ; | New York : Oxford University Press, 2003 .<br /> x, 382 p. : 24 cm..<br /> 0199257299 | 0199257302 (pbk.) </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=5052">Place hold on <em>Time series with long memory /</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=5052</guid> </item> </channel> </rss>
