نتایج جستجو برای: pre structured multivariate model
تعداد نتایج: 2547647 فیلتر نتایج به سال:
This study investigates the politico-economic determinants of the crowding-in effects of public investments in a cross-section of 25 developing countries for the 1975-2000 period using multivariate probit analysis. The estimation results show that public fixed capital investments may crowd in private investments, but this still depends on the developments in the economic, political, and legal e...
Model Transformation (MT) is an important operation in the domain of Model-Driven Engineering (MDE). While MDE continues to be further adopted in the design and development of systems, MT programs are applied to more and more complex configurations of models and relationships between them and grow in complexity. Structured techniques have proven to be helpful in design and development of progra...
Decoupling of multivariate functions is an important problem in block-structured system identification. In the literature, different tensor-based solutions have been proposed to solve this using a canonical polyadic decomposition (CPD) Jacobian tensor. recent work, it has add polynomial constraint on model, which leads constrained CPD model with two factors depending nonlinearly each other. we ...
We discuss the application of the GHK simulation method for maximum likelihood estimation of the multivariate probit regression model and describe and illustrate a Stata program mvprobit for this purpose.
Based on a unique firm-level data set from the German manufacturing sector, this paper disentangles environmental and non-environmental product and process innovations. The multivariate probit analysis shows that the various innovation types are determined by different factors. The estimation results suggest a policy mix which comprises the encouragement of R&D activities, certified management ...
Various generalizations of the univariate rank histogram have been proposed to inspect the reliability of an ensemble forecast or analysis in multidimensional spaces. Multivariate rank histograms provide insightful information about the misspecification of genuinely multivariate features such as the correlation between various variables in a multivariate ensemble. However, the interpretation of...
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