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  <titleInfo>
    <title>Time series analysis of water quality data of a river in Malaysia</title>
    <subTitle>using Box Jenkins techniques</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Latif, Shamsudin Abdul</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Yamamoto, Kazuo</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Orth, H. M.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>I, Fude</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>US- Asean</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1988</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>62 p.</extent>
  </physicalDescription>
  <abstract>This is a case study on the application of the Box Jenkins  technique of time series analysis to the analysis of water  quality data of two tributaries of Klang River in Malaysia.  In the first ~art of the study, models were formulated  using five years of monthly water quality series. The ability  of the models to forecast 'average' water quality was then  evaluated utilizing nonparametric Mann Whitney test on the  sample ~ets of twelve months ahead forecasts and the observed  water quality in the sixth year. The average' water quality  C represented by the 50 percentile , in this study) predicted by  the models which passed the test, is in close· agreement with  the observed values.  The second part of the study is concerned with modeling  using six years of quarterly data. With sufficient data points,  forecasts from models based on the quarterly data may provide  useful information for the purpose of management of water  quality.</abstract>
  <note>A research study (12 credits) submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Environment, Resources and Development</note>
  <note>Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 1988</note>
  <subject authority="lcsh">
    <topic>Water quality</topic>
    <topic>Malaysia</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Time-series analysis</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Research studies project report ; no. EV-88-2</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
  </relatedItem>
  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B18830</identifier>
  <location>
    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B18830</url>
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    <recordCreationDate encoding="marc">301198</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260819084634.0</recordChangeDate>
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