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Longitudinal data analysis: non-stationary error structures and antedependent models

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Publication:4231229
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DOI<link itemprop=identifier href="https://doi.org/10.1002/(SICI)1099-0747(199709/12)13:3/4<279::AID-ASM322>3.0.CO;2-3" /><279::AID-ASM322>3.0.CO;2-3 10.1002/(SICI)1099-0747(199709/12)13:3/4<279::AID-ASM322>3.0.CO;2-3zbMath0910.62057OpenAlexW2080641574MaRDI QIDQ4231229

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Publication date: 14 March 1999

Full work available at URL: https://doi.org/10.1002/(sici)1099-0747(199709/12)13:3/4<279::aid-asm322>3.0.co;2-3


zbMATH Keywords

maximum likelihoodnonstationary processes


Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)


Related Items (3)

Parametric modelling of growth curve data: An overview. (With comments) ⋮ Trapezoidal rule and sampling designs for the nonparametric estimation of the regression function in models with correlated errors ⋮ Generalized Character Process Models: Estimating the Genetic Basis of Traits That Cannot Be Observed and That Change with Age or Environmental Conditions







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