Assessing demand when introducing a new fuel: Natural gas on Java

Technology;Innovation;Gas Industry;Energy Consumption;developing countries

Search for a New Conceptual Bookkeeping Model: Different Levels of Abstraction

Nowadays, every bookkeeping system used in practice is automated. Most bookkeeping software and integrated information systems are based on databases. In this paper, we develop a new conceptual bookkeeping model which is not based on manual techniques, but which is applicable in a database environment. The model is designed as a composition of equations. The startingpoint of these equations is the well-known accounting equation. In the development of the model, several levels of abstraction are distinguished: from an abstract level to a more concrete level. Every level of abstraction is described by one equation. This equation has both an input-function and an output-function. With the development of this model, the gap between the bookkeeping literature and bookkeeping practice has been reduced.bookkeeping;accounting information systems;conceptual modeling

Regression analysis of factoral designs with sequential replication

Statistical Methods

The new cocoa-agreement analysed

Commodities;international economics

Deterministic versus Stochastic Sensitivity Analysis in Investment Problems: An Environmental Case Study

Sensitivity analysis in investment problems is an important tool to determine which factors can jeopardize the future of the investment.Information on the probability distribution of those factors that affect the investment is mostly lacking.In those situations the analysts have two options: (i) apply a method that does not require knowledge of that distribution, or (ii) make assumptions about the distribution.In both approaches sensitivity analysis should result in practical information about the actual importance of potential factors.For approach (i) we apply statistical design of experiments (DOE) in combination with regression analysis or meta-modeling.For approach (ii) we investigate five types of relationships between the model output and each individual factor; Pearson's p, Spearman's rank correlation, and location, dispersion, and statistical dependence.We introduce two distribution types popular with practitioners: uniform and triangular.In an environmental case study both approaches identify the same factors as important.sensitivity analysis;experimental design;investment analysis;simulation

Two-stage versus sequential sample-size determination in regression analysis of simulation experiments

Regression Analysis;Experimental Design;Simulation Models;statistics