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SUMMARY:Polynomial Regression under a Mixture of Classical and Berkson Err
 ors
DTSTART;VALUE=DATE-TIME:20260908T140000Z
DTEND;VALUE=DATE-TIME:20260908T150000Z
DTSTAMP;VALUE=DATE-TIME:20260907T081100Z
UID:indico-event-2182@events.imath.kiev.ua
DESCRIPTION:Speakers: Oleksandr Liubimov (Taras Shevchenko National Univer
 sity of Kyiv\, Faculty of Mathematics and Mechanics)\n\nPolynomial errors-
 in-variables regression model under a mixture of classical and Berkson 
 errors is studied. We construct strongly consistent estimators for unknow
 n parameters and show that under mild conditions the estimators are asympt
 otically normal with a nonsingular asymptotic covariance matrix. Moreover\
 , we find two pairs of asymptotically independent estimators. A numerical 
 example is provided to demonstrate that even under the normality assumptio
 n there are no more asymptotically independent pairs.\n\nhttps://events.im
 ath.kiev.ua/event/2182/
LOCATION:https://us06web.zoom.us/j/87484295028?pwd=n8yEBJHE3tAwOoPpYNEZPGf
 WNV4SxJ.1 (ONLINE)
URL:https://events.imath.kiev.ua/event/2182/
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