Korkhin A. Development of methods of regression analysis with the use of a priori information as constraints of parameters

Українська версія

Thesis for the degree of Doctor of Science (DSc)

State registration number

0507U000115

Thesis Registration Form

0507U000115.pdf

Applicant for

Specialization

  • 01.05.01 - Теоретичні основи інформатики та кібернетики

26-01-2007

Specialized Academic Board

Д 26.194.02

V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine

Essay

On the basis of analysis of regression models of technical and economic processes the types of tasks with different ways of a priori information formalization are determined as distinct (normal) and fuzzy constraints. Methods of calculation of model parameters estimates and determination of obtained models accuracy are proposed for estimation problems considering different types of a priory information formalization. Key words: regression model, inequality constraints, fuzzy constraints, Pareto optimum solution.

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Files

АВТОРЕФЕРАТ--avt1.doc

АВТОРЕФЕРАТ--avt2.DOC

ДИССЕРТАЦИЯ--dis01.doc

ДИССЕРТАЦИЯ--dis02.doc

ДИССЕРТАЦИЯ--dis03.doc

ДИССЕРТАЦИЯ--dis04.DOC

ДИССЕРТАЦИЯ--dis05.doc

ДИССЕРТАЦИЯ--dis09.doc

ДИССЕРТАЦИЯ--dis10.doc

ДИССЕРТАЦИЯ--dis11.DOC

ДИССЕРТАЦИЯ--dis12.DOC

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