Repetatska G. Asymptotic properties of orthogonal regression estimator in nonlinear errors-in-variables models

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0412U001707

Thesis Registration Form

0412U001707.pdf

Applicant for

Specialization

  • 01.01.05 - Теорія ймовірностей і математична статистика

19-03-2012

Specialized Academic Board

Д 26.001.37

Taras Shevchenko National University of Kyiv

Essay

The thesis is devoted to orthogonal regression estimator in nonlinear functional errors-in-variables models where error covariance matrix is known up to a proportionality factor, and constructing an improved estimator. We suppose that the sample size increases while the error variance remains fixed but rather small.

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Files

aref.pdf

dis.pdf

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