Analysis of growth curves with patterned correlation matrices using quasi-least squares
From MaRDI portal
Publication:1410580
DOI10.1016/S0378-3758(02)00362-2zbMath1022.62045OpenAlexW2144448021MaRDI QIDQ1410580
Publication date: 14 October 2003
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0378-3758(02)00362-2
Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear inference, regression (62J99)
Related Items
Estimation for an additive growth curve model with orthogonal design matrices ⋮ Efficiency of Generalized Estimating Equations for Binary Responses ⋮ Unnamed Item ⋮ A Note on the Factorization of a Matrix Inverse ⋮ On intraclass structure estimation in the growth curve model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- The growth curve model with an autoregressive covariance structure
- On eliminating the asymptotic bias in the quasi-least squares estimate of the correlation parameter.
- An alternative approach to the analysis of longitudinal data via generalized estimating equations
- The growth curve model: a review
- ASYMPTOTIC TESTS FOR GROWTH CURVE MODELS WITH AUTOREGRESSIVE ERRORS
- Prediction and Estimation of Growth Curves With Special Covariance Structures
- On the Strong Law of Large Numbers and Related Results for Quasi-Stationary Sequences
- Stochastic Growth Curve Analysis
- Miscellanea. On the efficiency of regression estimators in generalised linear models for longitudinal data
- Analysis of Serially Correlated Data Using Quasi-Least Squares
- On the use of a working correlation matrix in using generalised linear models for repeated measures
- A generalized multivariate analysis of variance model useful especially for growth curve problems
- An Optimum Property of Regular Maximum Likelihood Estimation
- Convergence of stochastic processes