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...

The stylized fact of time-varying volatility in financial series is commonly accepted amongst scholars as well as practitioners. The GARCH model has been exceptionally successful in this area. Our approach, the minimally cross-entropic conditional density (MCECD) model, is a generalization of...

Motivated by the problem of setting prediction intervals in time series analysis, we suggest two new methods for conditional distribution estimation. The first method is based on locally fitting a logistic model and is in the spirit of recent work on locally parametric techniques in density...

Purpose: This paper aims to provide new evidence regarding the firm performance implications of using temporal orientation (time pacing) and information technology (IT) to align an organization with its task environment. Design/methodology/approach: Using questionnaire data provided by top...

Based on the 2008 Shaanxi Statistical Yearbook and the relevant data of Shaanxi GDP in the years 1952-2007, SPSS statistical software and time series analysis are used to establish ARIMA (1.2,1) time series model, according to the four steps, recognition rules and stationary test of time series...

An approach that combines seasonality removal with a multivariate, state-space, time series forecasting model is developed to provide shortrun forecasts for the US salmon market. Time series included in the model are: US fresh Atlantic salmon wholesale price index; fresh salmon (Atlantic, coho...