PUBLICATIONS DE L'INSTITUT MATHÉMATIQUE (BEOGRAD) (N.S.) Vol. 51(65), pp. 121--124 (1992) |
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One case of reduction of nonlinear regression to linearZ. Ivkovi\'cMatematicki fakultet, Beograd, YugoslaviaAbstract: 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 (MSC2000): 62J02; 60J25 Full text of the article:
Electronic fulltext finalized on: 2 Nov 2001. This page was last modified: 16 Nov 2001.
© 2001 Mathematical Institute of the Serbian Academy of Science and Arts
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