On an Iterative Procedure for Estimating Functions when Both Variables are Subject to Error
作者： J. P. Chandler
DOI: 10.1080/00401706.1972.10488884
关键词:
摘要: An approximate likelihood function has been suggested by Clutton-Brock for fitting a curve to data in the case where both independent and dependent variables are subject error. His iterative procedure maximizing is shown be unsatisfactory comparison with more conventional methods. It also that this poorly chosen approximation, an alternative form exact linear functions.
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sci-hub.se 参考文章(9)
Derek York, LEAST-SQUARES FITTING OF A STRAIGHT LINE Canadian Journal of Physics. ,vol. 44, pp. 1079- 1086 ,(1966) , 10.1139/P66-090
G. A. Gerhold, Least-Squares Adjustment of Weighted Data to a General Linear Equation American Journal of Physics. ,vol. 37, pp. 156- 161 ,(1969) , 10.1119/1.1975432
M. G. KENDALL, Regression, structure and functional relationship. Part I. Biometrika. ,vol. 38, pp. 11- 25 ,(1951) , 10.1093/BIOMET/38.1-2.11
M. O'Neill, I. G. Sinclair, F. J. Smith, Polynomial Curve Fitting When Abscissas and Ordinates are both Subject to Error The Computer Journal. ,vol. 12, pp. 52- 56 ,(1969) , 10.1093/COMJNL/12.1.52
M. J. D. Powell, An efficient method for finding the minimum of a function of several variables without calculating derivatives The Computer Journal. ,vol. 7, pp. 155- 162 ,(1964) , 10.1093/COMJNL/7.2.155
M. Clutton-Brock, Likelihood Distributions for Estimating Functions when Both Variables are Subject to Error Technometrics. ,vol. 9, pp. 261- 269 ,(1967) , 10.1080/00401706.1967.10490460
W. Edwards Deming, Statistical adjustment of data ,(1984)
Robert Hooke, T. A. Jeeves, `` Direct Search'' Solution of Numerical and Statistical Problems Journal of the ACM. ,vol. 8, pp. 212- 229 ,(1961) , 10.1145/321062.321069
J. A. Nelder, R. Mead, A Simplex Method for Function Minimization The Computer Journal. ,vol. 7, pp. 308- 313 ,(1965) , 10.1093/COMJNL/7.4.308