This appendix is divided into seven sections labelled A through G. Almost all details of the prior are specified in the paper itself, but the few remaining details about the prior are given in Appendix A. An outline of the MCMC algorithm was provided in the paper, but complete details and formulae are provided in Appendix B. Appendix C describes how we calculate the DIC which is one of the meth...

An important question in empirical macroeconomics is whether structural vector autoregressions (SVARs) can reliably discriminate between competing DSGE models. Several recent papers have suggested that one reason SVARs may fail to do so is because they are finite-order approximations to infinite-order processes. In this context, we investigate the performance of models that do not suffer from t...

The safe operation of a semi-batch catalytic reactor remains a sensitive issue when highly exothermic side reactions may occur, and various elements such as controllability, stability, safety, and economic aspects have to be considered in the process development. Nominal operating conditions are set to avoid excessive thermal sensitivity to variations in the process parameters. Several shortcut...

Environmental issues have become increasingly important in economic research and policy for sustainable development. Such issues are tracked by the Dow Jones Sustainable Indexes (DJSI) through financial market indexes that are derived from the Dow Jones Global Indexes. The environmental sustainability activities of firms are assessed using criteria in three areas, namely economic, environmental...

Focuses on several key industries like Textile, Plastics, and Electronics, this study applies the Vector Autoregressive Moving Average (VARMA) Model on the industrial sales index and industrial stock prices index to observe the dynamic relationship between sales and stock prices. Our empirical result has shown a consistent pattern of relationship between sales and stock prices among all industr...

Several univariate and multivariate models have been proposed for performing short term forecasting of traffic flow. In this paper two different univariate (historical average and ARIMA) and two multivariate (VARMA and STARIMA) models are presented and discussed. A comparison of the forecasting performance of these four models is undertaken using datasets from 25 loop detectors located in major...

We consider a generalization of Awad–Shannon entropy, namely Awad–Varma introduce stochastic order on residual entropy and study some properties this order, like closure, reversed closure preservation in models (the proportional hazard rate model, the odds model record values model).