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For example, Silvapullé [25] established asymptotic normality of HD estimators for the linear regression model with i.i.d.i.d
We assume a two-deme splitting model with i) a constant low level of gene flow (i.e., 0≤Nm≤1) [24], ii) a single admixture event occurring ∼3 kya (i.e., corresponding to the Bantu expansion), and iii) population structure collapsing ∼150 years ago (i.e., cryptic population structure).
For example, testing equality of exactly B (B = 2,..., I - 1) association parameters in a NUA model with I - 1 association parameters would already yield to comparisons.
A phylogenetic tree was constructed from MLSA, with the maximum likelihood method and GTR as substitution model (with I: 0.01 and G: 0.52).
The pooled RR for an increase from the 90th to the 99th percentile was 2.7% (95%CI: 1.9, 3.6%) for the base and 3.0% (95%CI: 2.4, 3.6%) for the alternative model, with I statistics of 56%and55%56%and55%
The pooled relative risk for an increase in air temperature from 20 to 25°C was 2.6%95%5% confidence interval (CI): 1.9, 3.4%) in the base and 2.4%95%5% CI: 1.7, 3.1%) in the alternative model, with I statistics of 60%and67%7%.
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b I Ks + I Nap model with slow I Ks and fast I Nap (biophysical conductances: G q and G p, respectively).
The models are described in Appendix B. a I h + I Nap model with slow I h and fast I Nap (biophysical conductances: G h and G p, respectively).
This dependence of rates on family size can be described by the rational model with λ i = λ(i + a1)/(i + a2), δ i = δ(i + b1)/(i + b2).
In contrast, standard residual-based bootstrap methods for models with i.i.d.i.d
Besides, according to Proposition 1, this distribution for model (3.1) is exactly the same as for the corresponding linear model with λ i = λ (i + a), δ i = λ (i + b), which was studied in detail in [12].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com