General Formulas for Obtaining the MLEs and the Asymptotic Variance- Covariance Matrix in Mapping Quantitative Trait Loci When Using the EM Algorithm

DOI10.2307/2533965zbMath0878.62083OpenAlexW2118902965WikidataQ44868385 ScholiaQ44868385MaRDI QIDQ4349980

Chen-Hung Kao, Zhao-Bang Zeng

Publication date: 27 August 1997

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2533965

zbMATH Keywords

heritabilityepistasisEM algorithmmaximum likelihoodquantitative trait locigene mappingnormal mixture modelasymptotic variance-covariance matrixgeneral formulas

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Genetics and epigenetics (92D10)

Related Items (7)

Interval Mapping of Quantitative Trait Loci for Time‐to‐Event Data with the Proportional Hazards Mixture Cure Model ⋮ The Full EM Algorithm for the MLEs of QTL Effects and Positions and Their Estimated Variances in Multiple‐Interval Mapping ⋮ An explicit representation of the limit of the LRT for interval mapping of quantitative trait loci ⋮ Parametric and semiparametric methods for mapping quantitative trait loci ⋮ Multiple Interval Mapping for Quantitative Trait Loci via EM Algorithm in the Presence of Crossover Interference ⋮ Mixture Generalized Linear Models for Multiple Interval Mapping of Quantitative Trait Loci in Experimental Crosses ⋮ Influence analysis in quantitative trait loci detection

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