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  <titleInfo>
    <title>Distribution-free approach to the sum of correlated variates</title>
  </titleInfo>
  <name type="personal">
    <namePart>Romano, Quirino A.</namePart>
    <namePart type="termsOfAddress">Jr</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Hoshi, Kiyoshi</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Suphat Vongvisessomjai</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Huynh Ngoc Phien</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>
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    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1982</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>vi, 38 p.</extent>
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  <abstract>A method to determine the three statistics, the mean, variance and the skew coefficient, of the sum of correlated variates that are used to fit the data to three-parameter density functions was developed. A primary  task that is integral to this study is the determination of the transformation matrix (matrix that transform correlated variables to uncorrelated  variables) that would be reliable when being used in the computation of the moments, especially the skew coefficients.  To determine the appropriate transformation matrix the comparisons between the results using the proposed approach and the results obtained via exact gamma solutions as well as Monte Carlo experiments were conducted.  The three- parameter log-normal distribution (LN3) was used to model the distribution of the random variables generated and AR(l) and ARMA(l ,l )  processes were used to resemble the correlation schemes of the variables in  the sum in the Monte Carlo experiments. The moments computed through this approach were satisfactory. The  transformation matrix PD1/2 PT was selected to be the most appropriate matrix especially in the computation of the third moment. The other transformation matrices were also found to be effective in the computation of the second  moment.</abstract>
  <note>A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Engineering and Technology</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1982</note>
  <subject authority="lcsh">
    <topic>Multivariate analysis</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Hydrology</topic>
    <topic>Statistical methods</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Thesis ; no. WA-83-14</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B21415</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B21415</url>
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