A mixed-effects model for growth curves analysis in a two-way crossed classification layout

 

Đã lưu trong:
Chi tiết về thư mục
Nhiều tác giả: Ojeda, Mario Miguel, Sahai, Hardeo
Định dạng: artículo original
Trạng thái:Versión publicada
Ngày xuất bản:2004
Miêu tả:We propose a mixed-effects linear model for analyzing growth curves data obtained using a two-way classification experiment. The model combines an unconstrained means model and a regression model on the time, in which the coefficients are considered random. The model allows for experimental unit covariates so as to study the trend and the variability of the individual growth curves. Comments on data analysis strategies are provided. An application of the model is illustrated using a data-set comes from a chrysanthemum growth experiment.
Quốc gia:Portal de Revistas UCR
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Ngôn ngữ:Español
OAI Identifier:oai:archivo.portal.ucr.ac.cr:article/245
Truy cập trực tuyến:https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/245
Từ khóa:multilevel linear regression models
random coefficients models
means models
data analysis strategies
Modelos de regresión lineal multinivel
modelos de coeficientes aleatorios
modelos de medias
estrategias de analisis de datos