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Volumn 9, Issue , 1993, Pages 509-520

14 The EM algorithm

(1)  Laird, Nan a  

a NONE

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EID: 25444482033     PISSN: 01697161     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0169-7161(05)80138-5     Document Type: Review
Times cited : (17)

References (14)
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  • 2
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    • Maximum likelihood from incomplete data via the EM algorithm (with discussion)
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  • 3
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    • Fuchs, C.1
  • 4
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    • The fitting of grouped truncated and grouped censored normal distributions
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    • Grundy, P.M.1
  • 5
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    • Maximum likelihood estimation from incomplete data
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    • Hartley, H.O.1
  • 6
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    • EM reconstruction algorithms for emission and transmission tomography
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  • 7
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    • Finding the observed information matrix when using the EM algorithm
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    • Louis, T.A.1
  • 8
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    • EM algorithm reconstruction of particle size distributions from diffusion battery data
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    • (1985) J. Aerosol Sci. , vol.16 , pp. 557-570
    • Maher, E.F.1    Laird, N.M.2
  • 10
    • 0002752852 scopus 로고
    • A smoothed EM approach to indirect estimation problems with particular reference to setereology and emission tomography
    • Silverman B.W., Jones M.C., Wilson J.D., and Nychka D.W. A smoothed EM approach to indirect estimation problems with particular reference to setereology and emission tomography. J. Roy. Statist. Soc. Ser. B 52 (1990) 271-324
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  • 11
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    • Random-effects models for serial observations with binary response
    • Stiratelli R., Laird N., and Ware J.H. Random-effects models for serial observations with binary response. Biometrics 40 (1984) 961-971
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  • 12
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    • Maximum likelihood theory for incomplete data from an exponential family
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  • 13
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    • A statistical model for position emission tomography (with comments)
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  • 14
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    • On the convergence properties of the EM algorithm
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    • Wu, C.F.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.