robustness of linear mixed effects models to violations of distributional assumptions - Axtarish в Google
12 июн. 2020 г. · Overall, our results show remarkable robustness of mixed-effects models that should allow researchers to use mixed-effects models even if the ... Abstract · INTRODUCTION · RESULTS · DISCUSSION
2 окт. 2020 г. · Overall, our results show remarkable robustness of mixed‐effects models that should allow researchers to use mixed‐effects models even if the ...
12 июн. 2020 г. · Overall, our results show remarkable robustness of mixed-effects models that should allow researchers to use mixed-effects models even if the ...
25 янв. 2022 г. · We focus on bias and prediction error on estimates of fixed and random effects. Model estimates were usually robust to violations of assumptions ...
20 мая 2020 г. · Model estimates were usually robust to violations of assumptions, with the excep- tion of slight upward biases in estimates of random effect ...
“Robustness of linear mixed‐effects models to violations of distributional assumptions”. Methods in Ecology and Evolution (2020): 2041-210X.13434.
We conclude that the model is robust to misspecification if the same function of age is included in the fixed and random effects. However, type 1 error of the ...
11 нояб. 2015 г. · Fixed effects have been found to be largely robust to violations of distributional assumptions of the random effects, at least for Gaussian ...
It is important to make sure that a procedure of statistical analysis is robust against violation of the assumptions, or some “bad cases”.
There have been a number of studies investigat- ing whether violations of the assumptions about the random effects and error terms affect the maximum.
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