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We have focused here on discrete state ion-channel models with binary measurement vectors.
In this paper we analyze the qualitative properties of ICI models with binary random variables.
Similarly, Acosta (2011) and Alcaraz et al. (2012) both estimate their models with binary indicators for remittance receipt.
As Acosta (2011) points out, there are several methods available for analyzing models with binary endogenous and outcome variables.
Till present, models that determined batch plants configurations in the chemical process industry resorted to models with binary variables to represent the different admissible options.
Mplus also provides alternative model estimators such as WLSMV3 and MLM for the estimation of FA and SEM models with binary manifest variables [see Brown (2006), chapter 9, for a discussion of the estimators for categorical data].
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The rules are modelled with binary weights on which constraints are imposed in order to ensure consistency.
The MC/AGQ method also proved to be well suited to calculate the expected power to detect a group effect for a model with binary outcomes.
However, a Bayesian estimation of the categorical factor model with binary indicators and with a small sample size is known to show prior assumption dependence (Asparouhov and Muthén 2010b).
This paper presents a nonlinear integer programming (NLIP) model with binary variables, to deal with the problem of protective device allocation in the main feeder and all branches of an overhead distribution circuit, to improve the reliability index and to provide customers with service of high quality and reliability.
A two-level hierarchical model with binary clustering outcome was estimated with the high SEP quartile serving as the referent.
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