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This paper is concerned with the null distribution of test statistic T for testing a linear hypothesis in a linear model without assuming normal errors.
How can be these alternative uses of entrepreneurial capacity –and their different consequences in terms of economic growth- be integrated in a single model without assuming that innovative entrepreneurs and rent-seeking entrepreneurs are essentially different?
This suggests that it is not easy to explain the universality of the Zipf's law-like distribution under the absolute optimum value model without assuming that the optimum value distribution itself follows Zipf's law.
Here, we use a simulation study to examine whether phylogenetic inference can recover accurate divergence and tree estimates under the correct substitution model without assuming a known MSA.
It is important for rule-based or clustering-based motif searching schemes to effectively and efficiently evaluate the similarity between a k-mer (a k-length subsequence) and a motif model, without assuming the independence of nucleotides in motif models or without employing computationally expensive Markov chain models to estimate the background probabilities of k-mers.
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Associations between genotypes (independent variables) and natural log (ln -transformed U-Cd or Ery-Cd (dependent variabln -transformedated using multivariable-adjusted regressior with the general linear modependentdure to allow the three possible genotypes for each SNP to be modeled without assuming additivariabless.
However, the definition of a secondary channel (namely, the pair of central frequency (fc) and bandwidth (BW), which in turn can be mapped into a set of frequency bins) is not trivial within an opportunistic unlicensed spectrum access model and without assuming a priori knowledge of the primary system transmission details.
From a two-phase model for an adiabatic packed bed through which a gas is flowing, a one-phase model is derived without assuming that the solid and gas temperatures are equal.
As mentioned previously, M igrate-N uses an F84 model with or without assuming variable substitution rates.
The model is conservative, without assuming a reduction of cardiovascular events by HM such as decompensated heart failure or mortality, or considering cost savings such as for transportation.
Compared with ANN, the new model is generated without assuming system structure or parameters a prior, thus no parameters needs to be initialized, which can help circumvent the bottleneck of estimating all initial parameters.
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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