Agribusiness, EarlyView.ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
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Flexible yet Sparse Bayesian Survival Models With Time-Varying Coefficients and Unobserved Heterogeneity. [PDF]
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Mechanical Power and Driving Pressure in ARDS: Clarifying Overlap Context and Clinical Meaning. [PDF]
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Bayesian neural network-based policy effect prediction for green transformation of power business environment. [PDF]
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Assessing the demand for cigarettes and e-cigarettes among US adult e-cigarette users: a cross-sectional study using a demand system approach. [PDF]
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Neural replay is connected to latent cause inference and supports fast generalization
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IDENTIFICATION OF UNOBSERVED COMPONENTS MODELS
Journal of Time Series Analysis, 1989Abstract. Unobserved components ARIMA models are common in time series applications. However, fitting models of this type leads to problems of model identification. In this paper we derive a methodology to check whether a proposed model is identifiable.
Hotta Luiz
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