Open Access
June 2019 Confidence regions for regression parameter in measurement error model
Yoshimi Shuto, Hiroto Hyakutake
Author Affiliations +
SUT J. Math. 55(1): 1-9 (June 2019). DOI: 10.55937/sut/1570041309

Abstract

In linear regression analysis, estimation of the regression parameters in measurement error model is considered in this paper. Methods of estimation have been proposed and improved in many literature. We give an approximated confidence region of regression parameters and examine the accuracy of approximation by simulation.

Acknowledgments

The authors wish to thank to Professor Ninomiya, Kyushu University, for his valuable comments.

Citation

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Yoshimi Shuto. Hiroto Hyakutake. "Confidence regions for regression parameter in measurement error model." SUT J. Math. 55 (1) 1 - 9, June 2019. https://doi.org/10.55937/sut/1570041309

Information

Received: 20 July 2017; Revised: 29 May 2019; Published: June 2019
First available in Project Euclid: 8 June 2022

Digital Object Identifier: 10.55937/sut/1570041309

Subjects:
Primary: 62F25 , 62J05

Keywords: confidence region , measurement error model , regression model

Rights: Copyright © 2019 Tokyo University of Science

Vol.55 • No. 1 • June 2019
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