Model-free linkage analysis methods, based on identity-by-descent allele sharing, are commonly used for complex trait analysis. The Maximum-Likelihood-Binomial (MLB) approach, which is based on the hypothesis that parental alleles are binomially distributed among affected sibs, is particularly popul
A Simplified Newton Method for Computing the Factor Loadings in Maximum Likelihood Factor Analysis
β Scribed by Prof. Dr. Joachim Focke
- Publisher
- John Wiley and Sons
- Year
- 1986
- Tongue
- English
- Weight
- 507 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
β¦ Synopsis
A simplified Newton iteration scheme for computation of factor loadings in maximum likelihood factor analysis is described. It operatee in the space of factor loadings and avoids eigenvalue problems. From this, a oomparatively small computational effort resulte. Besides of the cane of positive unique variances, also the Heywood caw is considered, where mme unique variances vanish. The ability of the proposed method is demonstrated in three examples, results and iteration process are compared with data given in literature.
π SIMILAR VOLUMES
The performance of the heurlstlc evolvmg latent proJectIons (HELP) method 1s mvestlgated for peak purity control m hqmd chromatography Hrlth photodlode array detectlon HELP and evolvmg factor analysis performed equally well, both techmques could detect less than 1% of a spectrally slmdar lmpunty eve