The phrase "a logistic transition" is correct and usable in written English.
It can be used in contexts discussing changes or shifts in logistics, processes, or systems, particularly in business or supply chain management.
Example: "The company is undergoing a logistic transition to improve efficiency and reduce costs in its supply chain."
Alternatives: "a logistical shift" or "a supply chain transition".
Following Bildirici and Ersin (2013), a MLP neural network model hints a similar architecture with a logistic smooth transition GARCH (LST-GARCH) process.
In the second stage of analysis, two-stage logistic transition models were used to model the new onset of CM in 2006 and 2007 as a function of covariates in the preceding year.
Franses and van Dijk (2000) discuss the STAR-STGARCH model that allows STAR type nonlinearity in both the conditional mean and the conditional variance and is developed based on the Terasvirta (1994) type LSTAR model with logistic transition function governing the dynamics of the transition between different regimes.
The proposed LSTAR-LST-GARCH-MLP and LSTAR-LST-GARCH-RBF fatily modelingim at modelinotnonlynly the conditional mean processes but also the conditional variance simultaneously with STAR type nonlinearity, allowing the transition between the regimes to be captured with logistic transition functions.
In this model, proliferative cells grow according to a logistic function but can transition to quiescence.
We follow Diebold et al. (1994) and Filardo (1994) and use a logistic functional form for the transition probabilities and the composite leading indicator as a business-cycle predictor.
ARTADE2 predicts transcript s by a logistic model based on Markovian nucleotide transitions of genome x and the PCS of positional correlations R formulated as (1) where Z(S) is the normalized constant.
This latter model considers the existence of two regimes and the change between them follows a transition function that can be modeled with a logistic or exponential distribution.
The sigmoid can be thought of as a logistic regression curve with two important parameters, one for the location of the 50% transition point, and one for the transition rate.
