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Volumn 67, Issue 2, 2004, Pages 183-192

Consistency for the least squares estimator in nonlinear regression model

Author keywords

Consistency; Consistency rate; Dependent error; Least squares estimator; Nonlinear regression model

Indexed keywords


EID: 1542613287     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spl.2003.11.020     Document Type: Article
Times cited : (14)

References (7)
  • 2
    • 0346426727 scopus 로고    scopus 로고
    • The rate of convergence for the least squares estimator in nonlinear regression model with dependent errors
    • Hu S.H. The rate of convergence for the least squares estimator in nonlinear regression model with dependent errors Sci. China (Series A) 45 2002 137-146
    • (2002) Sci. China (Series A) , vol.45 , pp. 137-146
    • Hu, S.H.1
  • 3
    • 0009163841 scopus 로고
    • An asymptotic expansion for the distribution of the least squares estimator of the nonlinear regression parameter
    • Ivanov A.V. An asymptotic expansion for the distribution of the least squares estimator of the nonlinear regression parameter Theory Probab. Appl. 21 1976 557-570
    • (1976) Theory Probab. Appl. , vol.21 , pp. 557-570
    • Ivanov, A.V.1
  • 5
    • 0041540447 scopus 로고
    • The rate of convergence of the least squares estimator in nonlinear regression model with dependent errors
    • Prakasa Rao B.L.S. The rate of convergence of the least squares estimator in nonlinear regression model with dependent errors J. Multivariate Anal. 14 1984 315-322
    • (1984) J. Multivariate Anal. , vol.14 , pp. 315-322
    • Prakasa Rao, B.L.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.