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  <titleInfo>
    <title>Statistics for chemical engineers</title>
    <subTitle>from data to models to decisions</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart> Zavala, Victor M.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New Delhi</placeTerm>
    </place>
    <publisher>Cambridge University Press</publisher>
    <dateIssued>2026</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xxii, 444p. </extent>
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  <abstract>This practical introduction to statistics written with chemical engineers in mind, emphasizes real-world problem solving. Including over 100 MATLAB and Python examples, accompanied by lecture slides, code and solutions for instructors, it is ideal for chemical engineering students keen to advance to courses in data science and machine learning.</abstract>
  <note type="statement of responsibility">Victor M. Zavala.</note>
  <subject>
    <topic>Chemical engineering--Statistical methods</topic>
  </subject>
  <subject>
    <topic>Statistical methods</topic>
  </subject>
  <subject>
    <topic>Chemical engineering--Mathematics</topic>
  </subject>
  <subject>
    <topic>Chemical engineering--Mathematical models</topic>
  </subject>
  <subject>
    <topic>Chemical engineering</topic>
  </subject>
  <classification authority="ddc">660.15195  T26 ZAV</classification>
  <identifier type="isbn">9781009541893</identifier>
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    <recordCreationDate encoding="marc">260421</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260421180122.0</recordChangeDate>
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