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Gerhart applied multivariate probit on cross-sectional data and supplemented it with qualitative techniques.
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Using data on 4407 Spanish firms during the period 2002 2005, we estimate a multivariate probit to analyse the determinants of firms' participation in public R&D programmes and, later, the impact of this participation on firms' R&D activities using two different procedures.
Finally, for each species, we performed a multivariate probit analysis on all individuals combined using temperature and latitude as independent variables.
Most approaches to maximum likelihood estimation in multivariate probit regression rely on Monte Carlo EM algorithms to avoid computationally intensive evaluations of multivariate normal orthant probabilities.
Our latent variable measurement models were based on a multivariate probit analysis with latent variables [ 18] through a 2-parameter normal ogive item response model and its extension to polytomous/ordinal data [ 19].
Second, based on descriptive analysis, correspondence analysis and multivariate probit models, we explore factors explaining the perception of obstacles, and study complementarities between those obstacles.
Multivariate probit analysis of the detailed data set from plants collected on April 17 showed a significant effect (P < 0.0001) of latitude of origin on the killing temperature for cottonwood (Fig. 2, Table 2).
Our econometric analyses with uni- and multivariate probit models imply a significantly positive effect of environmental process innovations on certified EMS.
The identifiability of multivariate probit models is also thoroughly discussed.
Table 4 illustrates regression outputs of the multivariate probit model.
A quantitative analysis was done with a multivariate probit model.
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