Your English writing platform
Discover LudwigExact(8)
The correlation matrix of the observations is given by R = A b b H A H + σ 2 I (57).
Specifically, the probability-pdf of the observations is given by, where is the normalizing constant and is the conditional pdf of signal strength given the event.
While the distribution in Fig. 8 corresponds to a simplified representation of uncertainties, the distribution of the estimation errors for real observations is given by the six-parameter covariance matrix.
A chemical explanation to the experimental and theoretical observations is given and a simple way of tuning the response of a molecular wire to an external electric voltage by increasing/decreasing its aromaticity and changing its type of molecule-electrode contact is provided.
The squared statistical distance from (mathbf Y) to population mean (mu) for (p times 1) vector (mathbf y) of observations is given by: begin{aligned} (mathbf y -mu )'Sigma ^{-1} (mathbf y -mu ), end{aligned}where the (p times 1) vector (mu) represent the expected value of the random vector (mathbf Y) and (ptimes p) matrix (Sigma) is the variance covariance matrix of (mathbf Y).
In case of missing data the total number of observations is given in below the n information National Co-ordinators were responsible for obtaining Local Research Ethics Committees approvals.
Similar(52)
Several characteristic examples of recent observations are given.
Scientific explanations for the different observations are given.
Average distributions for these observations are given in Fig. 6.
Some simple explanations for the observations are given.
Details of sensitivity and the procedure followed for observations are given in Pawar et al. (2010).
Write better and faster with AI suggestions while staying true to your unique style.
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