Data assimilation is the process of integrating observational data and model predictions to obtain an optimal representation of the state of the atmosphere. As more chemical observations in the troposphere are becoming available, chemical data assimilation is expected to play an essential role...

Local based approach is a major category of methods for spatial outlier detection (SOD). Currently, there is a lack of systematic analysis on the statistical properties of this framework. For example, most methods assume identical and independent normal distributions(i.i.d. normal) for the...

Research over two decades has advanced the knowledge of how to assess predictive validity. We believe this has value to information systems (IS) researchers. To demonstrate, we used a widely cited study of IS spending. In that study, price-adjusted diffusion models were proposed to explain and...

A methodology is offered which can be used to construct an econometric model in the presence of structural change of an evolutionary type. The theoretical basis for such modelling is drawn from the self-organisation approach and operationalised in the context of the logistic diffusion growth...

The record price development in commodity markets during the economic boom period lasting from early 2000 to mid 2008 highlighted a perceived scarcity particularly in metal markets that contrasted the preceding period beginning in the late 1970s of largely abundant availability and falling real...

This paper presents the methodology used in developing a fully-functional mode choice module capability to be incorporated into the Brisbane Strategic Transport Model (BSTM); capable of estimating mode shares in a multi-modal travel environment. The new mode choice module consists of unique...