[PDF] Top 20 Local Explosion Modelling by Noncausal Process

... how local explosion can arise when the linear process has a noncausal component and heavy-tailed ...considers noncausal AR(1) processes with stable ...the noncausal AR(1) models ... See full document

... if noncausal components ...simple noncausal AR(1) process with heavy-tailed errors is able to produce the typical nonlinear behaviours observed for the prices of financial ... See full document

... show that the resulting (local) maximum likelihood estimator is consistent, asymptotically normal and that ( ˆ Ψ, Φ) and ˆ ˆ Θ are asymptotically indepen- dent. Since analytic solution of the maximisation problem ... See full document

... subtractive process of woodcutting as well as the feel of the wood, the sound of the knife, and look of the marks on the surface of the ...This process also affords me a means to explore my interest in the ... See full document

... The mechanism of a core-collapse supernova due to the gravitational death of a massive star is considered to be one of the most complex and physically rich astrophysical phenomena ( Jankaa et al. 2007 ) . The ... See full document

... The p-p reaction runs slowly within the Sun because its temperature is low (relative to the temperatures of nuclear reactions). If we create higher temperature and density in a limited region of the solar interior, we ... See full document

... the explosion, it is difficult to know whether the higher frequency of airway symptoms, lower lung function and signs of airway obstruction in the exposed group were caused by pollution from the oil tank ... See full document

... In order to illustrate the gains in forecast accuracy of correctly allowing for noncausal- ity and the properties of the proposed forecasting method, we provide a small Monte Carlo simulation experiment. Following ... See full document

... heating process by combustion products or resistors in pressure vessels may cause explosion ...vessel explosion incident and energy created during the ... See full document

... to local condi- tions in order to find a breakthrough that is compatible with China’s policy of ecological construction and environ- mental improvement [43, ...with local economic and social development ... See full document

... The experiments were seeded to limit primary nucleation (Mullin, 1993) and improve repeatability in the dynamic 𝑝𝐻 response by providing a consistent initial PSD that could subsequently grow. Wet seed was chosen to avoid ... See full document

... the process model to guide the developer not only during individual specification development, but also during inter-developer ...the process models should provide a means for inconsistency handling ... See full document

... enzymatic hydrolysis and was able to produce chitosan with lower molecular weight. However, enzymatic methods require high production costs. So much research refers to chemical chitosan hydrolysis. Several methods of ... See full document

... mathematical modelling process. It is a simple process describing four modelling stages, namely, Observation, Analysis, Interpretation and Application (Ang, 1991; Swetz & Hartzler, 1991) ... See full document

... torrefaction process produced finer fractions than in the raw biomass and this led to the torrefied samples having a leaner MEC and higher reactivity at leaner mixtures than for raw ...Post explosion ... See full document

... The aim of this work was to develop a new CAE design methodology to deal with these demands. The model should integrate advanced numerical tools for modelling of railway vehicle dynamics and suitable models to ... See full document

... The study focuses on mathematical modelling of tumor progress during angiogenesis process. It is the stage through which the tumor changes from being avascular to vascular. Nonlinear partial differential ... See full document

... Despite the growing literature on this topic almost no independent critical analysis or evaluation has been available. This paper attempts to fill that gap. In particular we will be reflecting on experience with the ... See full document

... the noncausal autoregressive nature of the process, which, in turn, may be explained by nonfundamentalness due to omitting relevant variables in the univariate ... See full document

... forecasts can be considered as investors’ expectations. If these expectations are rational, i.e., they do not systematically deviate from the observed values, this together with the expectations hypothesis imposes ... See full document