One Case of Reduction of Nonlinear Regression to Linear
Publications de l'Institut Mathématique, _N_S_51 (1992) no. 65, p. 121

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An effective procedure to find nonlinear regression $X^*$ of $X=X(\xi_1,\ldots,\xi_M)$ on $\eta_1,\ldots,\eta_N$ in terms of the linear regression coefficients of $\xi_k$ on $\eta_1,\ldots,\eta_N$ is proposed. The variables $\xi_1,\ldots,\xi_M,\eta_1,\ldots,\eta_N$ are Gaussian. Some applications to $N$-ple Markov process are considered too.
Classification : 62J02 60J25
@article{PIM_1992_N_S_51_65_a14,
     author = {Zoran Ivkovi\'c},
     title = {One {Case} of {Reduction} of {Nonlinear} {Regression} to {Linear}},
     journal = {Publications de l'Institut Math\'ematique},
     pages = {121 },
     publisher = {mathdoc},
     volume = {_N_S_51},
     number = {65},
     year = {1992},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/PIM_1992_N_S_51_65_a14/}
}
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Zoran Ivković. One Case of Reduction of Nonlinear Regression to Linear. Publications de l'Institut Mathématique, _N_S_51 (1992) no. 65, p. 121 . http://geodesic.mathdoc.fr/item/PIM_1992_N_S_51_65_a14/