![Nonlinear regression / Non-linear least squares / Linear regression / Gauss–Newton algorithm / Linear least squares / Levenberg–Marquardt algorithm / Linear model / Degrees of freedom / Polynomial regression / Statistics / Regression analysis / Least squares Nonlinear regression / Non-linear least squares / Linear regression / Gauss–Newton algorithm / Linear least squares / Levenberg–Marquardt algorithm / Linear model / Degrees of freedom / Polynomial regression / Statistics / Regression analysis / Least squares](https://www.pdfsearch.io/img/c7a7806cbeb765ffd06f9715cf9211d9.jpg)
| Document Date: 2002-01-09 17:02:47 Open Document File Size: 53,10 KBShare Result on Facebook
City Springer-Verlag / New York / Wiley / Jennrich / / Company Teukolsky S.A. / Mead / Cambridge University Press / John Wiley & Sons Ltd / / Country Singapore / / IndustryTerm simplex algorithm / least squares solution / statistical software programs / line-search algorithms / / NaturalFeature Cayuga Lake / / Organization Royal Statistical Society / Cambridge University / American Statistical Association / / Person Walter W. Piegorsch / Marcel Dekker / Lisk / Table / GORDON K. SMYTH / Abdel H. El-Shaarawi / / Position Nonparametric regression model / model / Fisher / D.J. / / ProvinceOrState Rhode Island / New York / / PublishedMedium Journal of the Royal Statistical Society / Journal of the American Statistical Association / / Technology Newton algorithm / Newton algorithms / line-search algorithms / gradient matrix X. Possible algorithms / /
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