ON CONSISTENCY OF LS ESTIMATORS IN THE ERRORS-IN-VARIABLE REGRESSION MODEL. Issue 1 (1st December 2016)

• Record Type: Journal Article
• Authors: Wang, Xuejun; Xi, Mengmei; Wang, Hongxia; Hu, Shuhe
• Is Part Of: Probability in the engineering and informational sciences. Volume 32:Issue 1(2018)
• Page Start: 144
• Page End: 162
• Publication Date: 2016-12-01
• Subjects: complete consistency, -- EV regression model, -- strong consistency, -- weakly negative dependent random variables; Probabilities -- Periodicals; Engineering -- Statistical methods -- Periodicals; Information science -- Statistical methods -- Periodicals; 519.202462
• DOI: 10.1017/S0269964816000462
• Languages: English
• ISSNs: 0269-9648

Abstract

Abstract : Under some mild conditions, the strong consistency and complete consistency of the LS estimators in the errors-in-variable regression model with weakly negative dependent errors are obtained, which generalize the corresponding ones for negatively associated random variables. In addition, the simulation study shows that the biases of our method are small, and our method performs well.