Notes on Pearson residuals and weighted likelihood estimating equations

Estimating Equations, Empirical Likeliho

Estimating Equations, Empirical Likelihood and Constraints on Parameters

✍ Jing Qin and Jerry Lawless 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 French ⚖ 709 KB

A Note on Weighted Likelihood and Jeffre

A Note on Weighted Likelihood and Jeffreys Modal Estimation of Proficiency Levels in Polytomous Item Response Models

✍ Magis, David 📂 Article 📅 2013 🏛 Springer 🌐 English ⚖ 160 KB

[Lecture Notes in Statistics] Generalize

[Lecture Notes in Statistics] Generalized Estimating Equations Volume 204 || Pseudo maximum likelihood estimation based on the quadratic exponential family

✍ Ziegler, Andreas 📂 Article 📅 2011 🏛 Springer New York 🌐 English ⚖ 680 KB

Generalized estimating equations have become increasingly popular in biometrical, econometrical, and psychometrical applications because they overcome the classical assumptions of statistics, i.e. independence and normality, which are too restrictive for many problems. Therefore, the main goal of th

A note on spatial–temporal lattice model

A note on spatial–temporal lattice modeling and maximum likelihood estimation

✍ Xiang Zhang; Yanbing Zheng 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 274 KB

[Lecture Notes in Statistics] Generalize

[Lecture Notes in Statistics] Generalized Estimating Equations Volume 204 || Pseudo maximum likelihood method based on the linear exponential family

✍ Ziegler, Andreas 📂 Article 📅 2011 🏛 Springer New York 🌐 English ⚖ 755 KB

Generalized estimating equations have become increasingly popular in biometrical, econometrical, and psychometrical applications because they overcome the classical assumptions of statistics, i.e. independence and normality, which are too restrictive for many problems. Therefore, the main goal of th

A note on Sheppard's corrections for gro

A note on Sheppard's corrections for grouping and maximum likelihood estimation

✍ F.J.H Don 📂 Article 📅 1981 🏛 Elsevier Science 🌐 English ⚖ 288 KB