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Abstract:

The problem of assessing the incidence of the x errors on the fitting parameters and their uncertainties in straight-line fittings is addressed. The case in which the x and y errors are proportional to each other is studied in detail. Limits for the maximum expected variation of the fitting values due to the inclusion of the x errors are given in terms of the standard fitting results, namely those obtained disregarding the x errors. Closed expressions for the parameters' values and their uncertainties are also given in terms of the standard fitting results. The main inaccuracies of the standard fitting are investigated analytically. The general case of point-dependent errors is also briefly discussed.

Registro:

Documento: Artículo
Título:When errors in both coordinates make a difference in the fitting of straight lines by least squares
Autor:Bruzzone, H.; Moreno, C.
Filiación:Inst. de Física del Plasma, Fac. de Ciencias Exactas y Naturales, Ciudad Universitaria, Pab. 1, Buenos Aires 1428, Argentina
Colorado State University, Engineering Research Center, Fort Collins, CO 80523, United States
Palabras clave:Errors in both coordinates; Errors in x; Least-squares; Linear regression; Straight-line fitting; Straight-line fitting; Curve fitting; Error analysis; Least squares approximations; Regression analysis; Measurement errors
Año:1998
Volumen:9
Número:12
Página de inicio:2007
Página de fin:2011
DOI: http://dx.doi.org/10.1088/0957-0233/9/12/012
Título revista:Measurement Science and Technology
Título revista abreviado:Meas. Sci. Technol.
ISSN:09570233
CODEN:MSTCE
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09570233_v9_n12_p2007_Bruzzone

Referencias:

  • Barker, D.R., Diana, L.M., Simple method for fitting data when both variables have uncertainties (1974) Am. J. Phys., 42, pp. 224-227
  • Bevington, P.R., (1969) Data Reduction and Error Analysis for the Physical Sciences, , New York: McGraw-Hill
  • Boggs, P.T., Byrd, R.H., Schnabel, R.B., A stable and efficient algorithm for nonlinear orthogonal distance regression (1987) SIAM J. Sci. Statist. Comput., 8, pp. 1052-1078
  • Forbes, A.B., Generalised regression problems in metrology (1993) Numerical Algorithms, 5, pp. 523-533. , New York: Baltzer
  • Gill, P.E., Murray, W., Wright, M.H., (1981) Practical Optimization, , London: Academic
  • Macdonald, J.R., Thompson, W.J., Least-squares fitting when both variables contain errors: Pitfalls and possibilities (1992) Am. J. Phys., 60, pp. 66-73
  • Moreno, C., Bruzzone, H., Parameters' variances of a least-squares determined straight-line with errors in both coordinates (1993) Meas. Sci. Technol., 4, pp. 635-636
  • Pearson, K., On lines and planes of closest fit to systems of points in space (1901) Phil. Mag., 2, pp. 559-572
  • Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T., (1992) Numerical Recipes: The Art of Scientific Computing 2nd Edn, , New York: Cambridge University Press
  • Williamson, J.H., Least-squares fitting of a straight line (1968) Can. J. Phys., 46, pp. 1845-1847
  • York, D., Least-squares fitting of a straight line (1966) Can. J. Phys., 44, pp. 1079-1086

Citas:

---------- APA ----------
Bruzzone, H. & Moreno, C. (1998) . When errors in both coordinates make a difference in the fitting of straight lines by least squares. Measurement Science and Technology, 9(12), 2007-2011.
http://dx.doi.org/10.1088/0957-0233/9/12/012
---------- CHICAGO ----------
Bruzzone, H., Moreno, C. "When errors in both coordinates make a difference in the fitting of straight lines by least squares" . Measurement Science and Technology 9, no. 12 (1998) : 2007-2011.
http://dx.doi.org/10.1088/0957-0233/9/12/012
---------- MLA ----------
Bruzzone, H., Moreno, C. "When errors in both coordinates make a difference in the fitting of straight lines by least squares" . Measurement Science and Technology, vol. 9, no. 12, 1998, pp. 2007-2011.
http://dx.doi.org/10.1088/0957-0233/9/12/012
---------- VANCOUVER ----------
Bruzzone, H., Moreno, C. When errors in both coordinates make a difference in the fitting of straight lines by least squares. Meas. Sci. Technol. 1998;9(12):2007-2011.
http://dx.doi.org/10.1088/0957-0233/9/12/012