A note on spectral decomposition and maximum likelihood estimation in ANOVA models with balanced data
From MaRDI portal
Publication:1052781
DOI10.1016/0167-7152(83)90033-0zbMath0516.62066OpenAlexW2051988582MaRDI QIDQ1052781
Publication date: 1983
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-7152(83)90033-0
information matrixmaximum likelihood estimationANOVA modelsbalanced datageneral multi-way variance components modelspectral decomposition of covariance matrix
Related Items (18)
Incomplete panels. A comparative study of alternative estimators for the unbalanced one-way error component regression model ⋮ Useful matrix transformations for panel data analysis: a survey ⋮ A note on isomorphic characterizations of the dispersion matrix in error- component models ⋮ Test of hypotheses in panel data models when the regressor and disturbances are possibly non-stationary ⋮ The spectral decomposition of a covariance matrix for the balanced mixed analysis of variance model ⋮ Testing panel data regression models with spatial error correlation. ⋮ Generalized dispersion matrices for covariance structural analysis ⋮ Daily soil temperature modeling using ‘panel-data’ concept ⋮ A transformation that will circumvent the problem of autocorrelation in an error-component model ⋮ BLUP in the nested panel regression model with serially correlated errors ⋮ The unbalanced nested error component regression model ⋮ The error components regression model: conditional relative efficiency comparisons ⋮ Statistical inference in a panel data semiparametric regression model with serially correlated errors ⋮ Nonparametric regression estimation with general parametric error covariance ⋮ Singular value decomposition of design matrices in ANOVA with balanced data ⋮ THE ASYMPTOTIC PROPERTIES OF THE SYSTEM GMM ESTIMATOR IN DYNAMIC PANEL DATA MODELS WHEN BOTH N AND T ARE LARGE ⋮ More efficient local polynomial regression with random-effects panel data models ⋮ Instrumental variables estimation of a nearly nonstationary, heterogeneous error component model.
Cites Work
This page was built for publication: A note on spectral decomposition and maximum likelihood estimation in ANOVA models with balanced data
