Nonlinear Least Squares Regression Using STARPAC: The Standards Time Series and Regression Package

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Description

From preface: This Note documents 16 subroutines for nonlinear least squares regression. Twelve of these compute the least squares estimates, performing either weighted or unweighted analysis with either numerically approximated or user-supplied (analytic) derivatives. The other four are user-callable subroutines for two procedures used within the estimation code: the first selects optimum step sizes for approximating the partial derivatives of the model; and the second checks the validity of a user-supplied derivative subroutine.

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52 p. ; 28 cm.

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Donaldson, Janet R. & Tryon, Peter V. October 1983.

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  • Main Title: Nonlinear Least Squares Regression Using STARPAC: The Standards Time Series and Regression Package
  • Series Title: NBS Technical Note
  • Added Title: National Bureau of Standards Technical Note 1068-2
  • Series Title: Atomic Energy Commission Reports
  • Added Title: Atomic Energy Commission Report 1068-2

Description

From preface: This Note documents 16 subroutines for nonlinear least squares regression. Twelve of these compute the least squares estimates, performing either weighted or unweighted analysis with either numerically approximated or user-supplied (analytic) derivatives. The other four are user-callable subroutines for two procedures used within the estimation code: the first selects optimum step sizes for approximating the partial derivatives of the model; and the second checks the validity of a user-supplied derivative subroutine.

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52 p. ; 28 cm.

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Digitized from microfiche (1).

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  • October 1983

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  • Jan. 27, 2017, 10:19 a.m.

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  • Feb. 28, 2017, 8:04 a.m.

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Donaldson, Janet R. & Tryon, Peter V. Nonlinear Least Squares Regression Using STARPAC: The Standards Time Series and Regression Package, report, October 1983; Washington D.C. (digital.library.unt.edu/ark:/67531/metadc502573/: accessed December 16, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.