Geodesic
Existence of explicit asymptotically normal estimators in a multiple logarithmic regression problem
Sibirskie èlektronnye matematičeskie izvestiâ, Tome 14 (2017), pp. 972-979

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We construct and investigate a class of explicit estimators for an unknown multidimensional parameter in a logarithmic regression problem. We present general conditions for these estimators to be asymptotically normal. It is the fourth class of non-linear regression problems for which such explicit estimators are found.
Keywords: multiple logarithmic regression, difficulties in the least squares method, explicit estimators of the parameters, asymptotically normal estimators. 
@article{SEMR_2017_14_a48,
     author = {A. Koldaeva and A. Sakhanenko},
     title = {Existence of explicit asymptotically normal estimators in a multiple logarithmic regression problem},
     journal = {Sibirskie \`elektronnye matemati\v{c}eskie izvesti\^a},
     pages = {972--979},
     publisher = {mathdoc},
     volume = {14},
     year = {2017},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/SEMR_2017_14_a48/}
}
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A. Koldaeva; A. Sakhanenko. Existence of explicit asymptotically normal estimators in a multiple logarithmic regression problem. Sibirskie èlektronnye matematičeskie izvestiâ, Tome 14 (2017), pp. 972-979. http://geodesic.mathdoc.fr/item/SEMR_2017_14_a48/