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In order to obtain the instance-specific information about bottleneck machine distribution, we first propose a new optimization model which relaxes some conventional constraints of the standard job shop problem.
The corresponding econometric specification is the nested multinomial logit model, which relaxes the independence of non relevant alternatives (IIA) assumption [27].
An alternative is available in the partial ordinal logistic regression model which relaxes the assumption of proportional odds, allowing the parameters to vary across the level of the dependent variables, but yielding a less parsimonious model.
We present a generalization of the Brownian motion model which relaxes assumptions of neutrality and gradualism by considering increments to evolving characters to be drawn from a heavy-tailed stable distribution (of which the normal distribution is a specialized form).
Lin et al. provided a rigorous formalization of the marginal rate model, which relaxes the assumption that the event history, F i (t), can be completely described by time-dependent covariates, x i (t), that is, [ 17, 30] E[ dN i (t )| F i (t )] = E[ dN i (t )| x i (t )].
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Three additional models which relax the assumption of equal probability of capture were also considered: (1) variability in individual capture probability using the Chao and Jackknife Mh estimators [20], [21], (2) time-varying capture probability using the Chao and Darroch Mt estimators [17], [22], [23], and (3) behavioral response to capture using the Zippin Mb estimator [24].
Metapopulation models which relax unrealistic assumptions (Lopez and Pfister, 2001; Higgins and Cain, 2002; Baguette and Schtickzelle, 2003) suggest that neither spatial heterogeneity nor local population dynamics should be disregarded.
One of the most well-characterized example of such an improvement is provided by the Rate Across Sites (RAS) model [ 2], which relaxes the assumption that all sites of a protein or a nucleotide sequence evolve at the same rate.
Then, the neural networks (NN) hysteresis model is extended to describe hysteresis function, which relaxes the requirements on hysteresis to be described by Preisach model.
In addition, we allow features to be correlated, which relaxes restrictions of previous models that often implicitly assume phonemes to be independent [28], [32].
Diagnostic plots of the four practice activity subscales suggested that an explanatory model might be best approached using logistic regression, which relaxes the assumption of normality.
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Justyna Jupowicz-Kozak
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