Vladimir
NORKIN’s research
Research directions:
In Norkin (2003, 1990) to discover and identify
a (linear) dependence in experimental data, a principal component method in its
geometric form is applied: data are approximated by a linear manifold formed by
some first principal components of a data space. If the dimension of the
manifold is less than a dimension of the space, then a linear dependence in
data is identified. Problems of selection of dependent, independent and neutral
variables and problem of multicollinearity of observations are resolved in a
natural way in this approach.
In Kirilyuk, Norkin and Domrachev
(2000-2002) an approach of nonparametric indexes (data envelope analysis) is
applied to actors of Ukrainian financial and agricultural markets to estimate
their position relative to market efficiency frontier.
Selected references
Norkin V.I. (2003).
On application of principle components method in multi-dimensional regression analysis, Komputernaya matematika (Computer mathematics),
Norkin V.I. (1990).
Construction of linear models on the basis of limited experimental data, in: Mathematical Methods of Decision-Making
under uncertainty, Eds. Yu.M.Ermoliev and I.N.Kovalenko, Glushkov Institute
of Cybernetics,
Kirilyuk V.S., Norkin V.I.
and Domrachev V.N. (2002). A
nonparametric index approach for the
evaluation of financial
market actors through return-risk trade-off on example of commercial banks, Problemy upravleniya i informatiki (In
Russian, English
translation in J. of Automation and Information Sciences), 2002, ¹ 6, 120-131.
Kirilyuk V.S., Norkin V.I. and Domrachev V.N. (2002). On the use of a return-risk frontier
for the evaluation of banks functioning, Finansovye
riski (Financial risks), 2002,
No. 1-2(29), pp.75-77. (In Russian).
Kirilyuk
V.S., Norkin V.I. and Domrachev V.N. (2001).Method of nonparametric indexes for the
analysis of productivity, technical growth and efficiency chainge on the example
of Ukrainian agriculture in 1996-1999, Finansovye
riski (Financial risks), 2001,
No. 3(27), pp.77-84. (In Russian).