Abstract
AbstractThe desirable properties of the basic methods for quantitative trait loci (moments method for estimation, least-squares parameter estimation, least-squares solutions for a single parameter, least-squares solutions for the general linear model, maximum likelihood estimation for a single parameter, maximum likelihood multi-parameter estimation, confidence intervals and hypothesis testing for MLE, methods for maximum likelihood functions, derivative-free methods, first derivative-based methods, Bayesian estimation and minimum difference estimation) are presented in this chapter. Least squares and maximum likelihood estimation are described in detail while, the moments method of estimation and Bayesian estimation are discussed in cursory.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
