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The set (varLambda_{p}^{t}) represents the returns to scale (RTS) assumption for process p in time period (t).
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Layer-based modeling makes wide use of the rapid equilibrium assumption for processes of different layers that do not interact directly.
There is an assumption for ARMA process that the time series for analysis should be stationary, that is, the mean of the time series and the covariance among its observations are not time-varied.
The reference-case was included because it is representative of the assumptions used for process comparison in previous techno-economic assessments [ 18, 20].
Detailed mass balance data, together with cost assumptions for each process are shown in Table 4.
Establishing common standards and assumptions for data process will reduce the variance in systematic error across the network, even if some error based on the common standard persists.
The asymptotic efficiency bound is derived under a Markov assumption for the bivariate process while the high-frequency estimator and its asymptotic properties are derived in a general Itô semimartingale setting.
The proportional mean and rate model relaxed the non-homogeneous Poisson assumption for the counting process and directly models means and rates [ 17].
Albeit the relationships are derived on the assumptions for hydrodynamic processes, their generality of form and ease of implementation make them a useful first-order description for engineering insight and application over a broad range of velocities.
The proposed filter has an advantage in which the restrictive assumptions of statistical models for process noise, measurement noise, and motion models are relaxed.
The Markov assumption for the hidden disease process is given by (1) where the quantity Pxj-1, xj denotes the probability of transition to occupy state x at time Tj = tj given that the process was in state xj-1 at tj-1 and that the transition probabilities are assumed to be stationary.
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CEO of Professional Science Editing for Scientists @ prosciediting.com