Exact(8)
We review the development of the Taiwanese distant-water longline fishery and compare five designs for standardizing the catch rate of yellowfin tuna (Thunnus albacares) in the western and central Pacific Ocean, using generalized linear models with lognormal and delta-lognormal error assumptions.
See recent works, for example, Antoniadis et al. [16] and Xue [17] on independent errors; Johnstone and Silverman [18] for correlated noise; Liang et al. [19] on martingale difference errors; Li and Xiao [20] for long memory data; Li et al. [21] on associated samples; Xue [22], Sun and Chai [23], Li and Guo [24] and Liang [25] on mixing error assumptions.
All models presented here underwent residual analysis to ensure error assumptions were not violated.
Using this effect size, and assuming standard error assumptions (α = 5%, power = 80%).
For both traits, individuals that showed extreme genetic merit under homoskedastic error assumptions had their GEBV considerably attenuated when residual heteroskedasticity was accounted for (e.g., Figure 5A, BayesB).
Also, self-report assessments of nutrient intakes likely fail to adhere, even approximately, to the measurement error assumptions that attend (Eqn 1).
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error assumption.
The green line is the gain factor (g_{0}) where the equal error assumption has been made.
The constant variance of error assumption is easily verified if we plot the residuals versus the fitted values.
First, a contour error model using the contour algebraic equation and its partial derivatives is established without the small tracking error assumption.
Here we present two instability mechanisms that can arise in filtered-E control that violate the 90° error assumption: feedback loop instabilities and LMS algorithm divergence.
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