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Thus,, and are, respectively,,, and matrices of coefficients to be learned.
At its simplest, a VAR is given by begin{array}{l}{y}_t=upnu +{Phi}_1{y}_{t-1}+dots +{Phi}_p{y}_{t-p}+{u}_t kern2.76em {u}_tsim Nleft 0,{H}_tright)end{array} (1 where y t is the k by 1 vector of returns at time t, ν is a k by 1 vector of intercept parameters and Φ l, l = 1 … p are k by k matrices of coefficients corresponding to the lagged return vector y t − p.
We fit these independent (a) mean and (b) slope values separately to each hour's data within each treatment, yielding two 24 compound×24 hour matrices of coefficients for each LD/DD treatment, or a total of 4 cases.
$$\end{document} The p matrices of coefficients A(k) were calculated by solving the extended Yule-Walker equations.
Let F t) and F ¯ (t ) denote the matrices of coefficients (model parameters) in the differential equations for HIV-negative and HIV-positive populations, respectively.
The model for the entire dataset Y can be written as (3) where B and A are m × d and m × r c matrices of coefficients, the i-th row corresponding to b i and a i, respectively.
Similar(54)
Matrix of coefficients of deformation.
( tau ) is a ( pxp ) matrix of coefficients.
Let be a matrix of coefficients of system (3.32).
( omega ) is a (q x q) matrix of coefficients.
In the experimenting pressure field technique, the matrix of coefficients is generated automatically within the solver.
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CEO of Professional Science Editing for Scientists @ prosciediting.com