✦ LIBER ✦

A note on Lawley's formulas for standard errors in maximum likelihood factor analysis

✍ Scribed by Robert I. Jennrich; Dorothy T. Thayer

Book ID: 112726235
Publisher: Springer
Year: 1973
Tongue: English
Weight: 422 KB
Volume: 38
Category: Article
ISSN: 0033-3123
DOI: 10.1007/bf02291495

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A feasible method for standard errors of

A feasible method for standard errors of estimate in maximum likelihood factor analysis

✍ R. I. Jennrich; D. B. Clarkson 📂 Article 📅 1980 🏛 Springer 🌐 English ⚖ 697 KB

A note on the computation of maximum lik

A note on the computation of maximum likelihood estimates in linear regression models with autocorrelated errors

✍ Corrado Corradi 📂 Article 📅 1979 🏛 Elsevier Science 🌐 English ⚖ 723 KB

A Simplified Newton Method for Computing

A Simplified Newton Method for Computing the Factor Loadings in Maximum Likelihood Factor Analysis

✍ Prof. Dr. Joachim Focke 📂 Article 📅 1986 🏛 John Wiley and Sons 🌐 English ⚖ 507 KB

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 uniqu

Correction Note to “Exact and Approximat

Correction Note to “Exact and Approximate Distributions of the Maximum Likelihood Estimate in a Simple Factor Analysis Model”

✍ T. W. Anderson; Petter Laake 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 77 KB

A note on conditions for the asymptotic

A note on conditions for the asymptotic normality of the conditional maximum likelihood estimator in log odds ratio regression

✍ Andrew B. Forbes; Thomas J. Santner 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 705 KB

A note on bounds for the asymptotic samp

A note on bounds for the asymptotic sampling variance of the maximum likelihood estimator of a parameter in the negative binomial distribution

✍ L. R. Shenton 📂 Article 📅 1963 🏛 Springer Japan 🌐 English ⚖ 207 KB