The sampled effects are then input as fixed effects into the above scheme.
Means of the fungal tef 1 α DNA quantity and their significances, determined by two-way ANOVA (P ≤ 0.05), considering treatment and time of sampling as fixed factors.
The three models, GLM, MANOVA, and ANOVA, included treatment as a fixed factor with three levels: NP, RC, and C. The FCMs of vole mothers and their effects on body weight were analysed with two-factorial GLMs with treatment and sampling as fixed factors.
Final model for hair sample mass included playback treatment, study area, order of the playback and pre-experiment baseline hair sample mass as fixed effects.
The effect of dietary treatment on the production parameters and qRT-PCR were analyzed by 2-way analysis of variance (ANOVA), using dietary treatment and sampling point as fixed factors and block as a random factor.
To assess the richness and diversity indices over time, linear mixed-effect models (LMM) were calibrated for each reactor, considering time (the different sampling points) as fixed factor and the replicates as random factor.
The treatment and time of leaf sampling were used as fixed effects, whereas the randomly selected individual trees were considered as random effects in the models.
As a result, the proposed model can be used under a low SNR if the number of measurements M could be properly chosen according to the number of transmit sensors N. On the basis of the simulation results, we can draw a brief conclusion that the number of measurements M of our model only depends on the size of RSN even when the number of samples is fixed as large as 500 here.
Robust levels of fluorescence were detected in both living as well as fixed samples from both transgenic lines.
Only sample set was found to have an effect on cortisol and therefore sample set was added as fixed effect to the model.
