<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <nonSort>A </nonSort>
    <title>Natural Introduction to Probability Theory</title>
  </titleInfo>
  <titleInfo type="abbreviated">
    <title>A Natural Introduction to Probability Theory</title>
  </titleInfo>
  <name type="personal">
    <namePart>Meester, Ronald</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">Author</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">sz</placeTerm>
    </place>
    <place>
      <placeTerm type="text">CH-4010 Basel</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Secaucus</placeTerm>
    </place>
    <publisher>Birkhauser Verlag AG</publisher>
    <dateIssued>Feb. 2008</dateIssued>
    <publisher>Springer [Distributor]</publisher>
    <dateIssued encoding="marc">2008</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <form authority="gmd">electronic resource</form>
  </physicalDescription>
  <abstract>Annotation Compactly written, but nevertheless very readable, appealing to intuition, this introduction to probability theory is an excellent textbook for a one-semester course for undergraduates in any direction that uses probabilistic ideas. Technical machinery is only introduced when necessary. The route is rigorous but does not use measure theory. The text is illustrated with many original and surprising examples and problems taken from classical applications like gambling, geometry or graph theory, as well as from applications in biology, medicine, social sciences, sports, and coding theory. Only first-year calculus is required.</abstract>
  <note>License restrictions may limit access.</note>
  <classification authority="lcc">QA273</classification>
  <classification authority="ddc" edition="22">519.23 MRN</classification>
  <relatedItem type="host">
    <titleInfo>
      <title>SpringerLink ebooks - Mathematics and Statistics (2008)</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9783764387235</identifier>
  <identifier type="isbn">3764387238 (Trade Paper)</identifier>
  <identifier type="stock number">00145491</identifier>
  <identifier type="uri">http://www.columbia.edu/cgi-bin/cul/resolve?clio7867563</identifier>
  <location>
    <url>http://www.columbia.edu/cgi-bin/cul/resolve?clio7867563</url>
  </location>
  <accessCondition type="restrictionOnAccess">License restrictions may limit access.</accessCondition>
  <recordInfo>
    <recordContentSource authority="marcorg">BIP US</recordContentSource>
    <recordCreationDate encoding="marc">090406</recordCreationDate>
    <recordChangeDate encoding="iso8601">20150408114223.0</recordChangeDate>
    <recordIdentifier source="OSt">7867563</recordIdentifier>
  </recordInfo>
</mods>
