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Volumn 72, Issue 8, 2002, Pages 599-611

Maximum likelihood estimation using the empirical fisher information matrix

Author keywords

EM algorithm; Incomplete data; Information matrix; Response models

Indexed keywords


EID: 0036374022     PISSN: 00949655     EISSN: None     Source Type: Journal    
DOI: 10.1080/00949650213744     Document Type: Article
Times cited : (16)

References (7)
  • 2
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. J. R. Statist. Soc. B, 39, 1-38.
    • (1977) J. R. Statist. Soc. B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 5
    • 0001232538 scopus 로고
    • A fast improvement to the EM algorithm, on its own terms
    • Meilijson, I. (1989). A fast improvement to the EM algorithm, on its own terms. J. R. Statist. Soc. B, 51, 127-138.
    • (1989) J. R. Statist. Soc. B , vol.51 , pp. 127-138
    • Meilijson, I.1
  • 6
    • 0021404166 scopus 로고
    • Mixture densities, maximum likelihood and the EM algorithm
    • Redner, R. A. and Walker, H. F. (1984). Mixture densities, maximum likelihood and the EM algorithm. SIAM Rev., 26, 195-239.
    • (1984) SIAM Rev. , vol.26 , pp. 195-239
    • Redner, R.A.1    Walker, H.F.2
  • 7
    • 0017133178 scopus 로고
    • Inference and missing data
    • Rubin, D. B. (1976). Inference and missing data. Biometrika, 63, 581-592.
    • (1976) Biometrika , vol.63 , pp. 581-592
    • Rubin, D.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.