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FITTING OBSERVED DEMOGRAPHIC RATES WITH THE MULTIEXPONENTIAL MODEL SCHEDULE: AN ASSESSMENT OF TWO ESTIMATION PROGRAMS.

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Title: FITTING OBSERVED DEMOGRAPHIC RATES WITH THE MULTIEXPONENTIAL MODEL SCHEDULE: AN ASSESSMENT OF TWO ESTIMATION PROGRAMS.
Authors: Rogers, Andrei, Raymer, James
Source: Review of Urban & Regional Development Studies. Mar1999, Vol. 11 Issue 1, p1. 10p. 4 Graphs.
Subjects: Demographic surveys, MODEL (Computer program language), Programming languages
Abstract: The process of finding the best fitting model can often be very time consuming and tedious. Most computer programs are very specialized, and many require initial parameter estimates to fit a particular curve. Those that are most useful are ones that are versatile in applications, and ones that allow inputs of "rough" parameter estimates for finding the optimal ones. This paper focuses on current approaches for fitting observed age-specific demographic data with the multiexponential model schedule and uses two curve-fitting computer programs: MODEL and TableCurve2D. These two programs are assessed according to how well, and how simply, they can be used to fit age-specific fertility, mortality, and migration rates. [ABSTRACT FROM AUTHOR]
Copyright of Review of Urban & Regional Development Studies is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="DE" term="%22Demographic+surveys%22">Demographic surveys</searchLink><br /><searchLink fieldCode="DE" term="%22MODEL+%28Computer+program+language%29%22">MODEL (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Programming+languages%22">Programming languages</searchLink>
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  Data: The process of finding the best fitting model can often be very time consuming and tedious. Most computer programs are very specialized, and many require initial parameter estimates to fit a particular curve. Those that are most useful are ones that are versatile in applications, and ones that allow inputs of "rough" parameter estimates for finding the optimal ones. This paper focuses on current approaches for fitting observed age-specific demographic data with the multiexponential model schedule and uses two curve-fitting computer programs: MODEL and TableCurve2D. These two programs are assessed according to how well, and how simply, they can be used to fit age-specific fertility, mortality, and migration rates. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Review of Urban & Regional Development Studies is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/1467-940x.00001
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        Text: English
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      – SubjectFull: Demographic surveys
        Type: general
      – SubjectFull: MODEL (Computer program language)
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      – SubjectFull: Programming languages
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      – TitleFull: FITTING OBSERVED DEMOGRAPHIC RATES WITH THE MULTIEXPONENTIAL MODEL SCHEDULE: AN ASSESSMENT OF TWO ESTIMATION PROGRAMS.
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            NameFull: Rogers, Andrei
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              Text: Mar1999
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              Y: 1999
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