Estimation of genetic parameters using molecular markers and EM-algorithms
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Universitätsbibliothek Dortmund
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In this paper we present a new method for estimating genetic parameters of an F2-generation model. Using an iterative algorithm we derive explicit expressions for the Maximum Likelihood estimates of the additive and dominance effects. Finally we calculate the variance covariance matrix of our Maximum Likelihood estimates, which enables us to determine a confidence interval for the location of a quantitative trait locus.
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confidence intervals for genetic parameters, EM and ECM-algorithms, maximum likelihood estimation, molecular genetics, variance-and covariance matrix of Maximum Likelihood estimates