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Carol Richtand

Biographic Data

ID4270646
NAMECarol Richtand
GIVEN NAMESCarol
FAMILY NAMERichtand
SIGNATURERICHTAND C
AFFILIATIONSNational Institutes of Health
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS1
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR1984
LATEST PUBLICATION YEAR1984
H-INDEX1
  • Application of the EM Method: A Study of Maximum Likelihood Estimation of Multiple Indicator and Factor Analysis Models

    Open Access•Ronald Schoenberg, Carol N Richtand et al.•ARTICLE•Sociological Methods & Research•1984•Cited by: 1•References: 11

    The EM (Estimation-Maximization) algorithm is exploited to provide maximum likelihood estimates of the parameters of multiple indicator/factor analysis models. This method reduces considerably the storage and computational burden of such estimation. A computer program in BASIC language that performs the computations is listed in an appendix. The specification of correlated errors is also provided for in this application of the method

  • Application of the EM Method: A Study of Maximum Likelihood Estimation of Multiple Indicator and Factor Analysis Models

    Open Access•Ronald Schoenberg, Carol N Richtand et al.•ARTICLE•Sociological Methods & Research•1984•Cited by: 1•References: 11

    The EM (Estimation-Maximization) algorithm is exploited to provide maximum likelihood estimates of the parameters of multiple indicator/factor analysis models. This method reduces considerably the storage and computational burden of such estimation. A computer program in BASIC language that performs the computations is listed in an appendix. The specification of correlated errors is also provided for in this application of the method

  • Application of the EM Method: A Study of Maximum Likelihood Estimation of Multiple Indicator and Factor Analysis Models

    Open Access•Ronald Schoenberg, Carol N Richtand et al.•ARTICLE•Sociological Methods & Research•1984•Cited by: 1•References: 11

    The EM (Estimation-Maximization) algorithm is exploited to provide maximum likelihood estimates of the parameters of multiple indicator/factor analysis models. This method reduces considerably the storage and computational burden of such estimation. A computer program in BASIC language that performs the computations is listed in an appendix. The specification of correlated errors is also provided for in this application of the method

Advanced Statistical Modeling Techniques (1 works) · Algorithm (1 works) · Computation (1 works) · Computer Science (1 works) · Data mining (1 works) · Estimation (1 works) · Expectation–maximization algorithm (1 works) · Mathematical optimization (1 works) · Mathematics (1 works) · Maximization (1 works)

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