Oracle articles

Introduction
The explosive growth of Six Sigma methods in diverse industries has created a huge need for software to automate statistical analysis. Selection of the best tools for your company can be difficult.

As illustrated in Figure 1, a typical business uses three broad categories of software applications. At one extreme are general purpose applications, such as Microsoft® Office and Lotus Notes. These applications are used by everyone and are typically selected by a central IT depar

Where do you expect to find Crystal Ball? Does an image come to mind of a cubicle housing a busy financial analyst constructing scenarios on a billion-dollar company’s performance in coming quarters? That’s undoubtedly accurate. But incomplete. The tool that allows its users to see into multiple versions of the future and make smart choices will find a home anywhere there’s uncertainty. One place particularly rife with uncertainty is the tropical rain forest. This paper explains how o

ABSTRACT
Simulation is based on the statistical concept that when the number of trials of an experiment approaches infinity, the average of the experiment`s outcome is equivalent to the real value of variable under study. In the Reliability Block Diagrams, the application of the Monte Carlo Method is useful to observe the dynamic behavior of a system with variation in the set of inputs. Performing an infinite number of simulations is impossible; therefore, an appropriate number of iterations

Abstract.

Physico-chemical properties of residual waste are key factors for disposal standards. Reliable input data for treatment plants (MSWI) need to consider the heterogeneity and variability of waste composition. This requires thoroughly designed sampling schemes, a consistent separation of bulk waste into uniform fractions, and adequate methods for sample preparation and analysis. The present study aimed to provide up-to-date information on residual household waste properties, derive t

Introduction

Against a background of dynamic markets and a changing business environment, companies everywhere face the challenge of taking strategic decisions on the basis of imperfect information. In the long run, no company can afford to bear more risk than its equity base can cushion. Therefore, market participants must plan strategically while keeping an eye on uncertain future developments that bring opportunities and risks for their companies. Risk management should thus be high on th

What can a country like Egypt learn from the success of the East Asian countries in using the apparel industry to drive export-led growth? Throughout the 1970s and 1980s, in countries like Taiwan, South Korea, and Hong Kong, exporting light manufactures like apparel helped spur a process of industrial upgrading and economic development. The success of these countries has led many researchers to explore whether the process can be replicated in other developing economies.

In the classic path o

ABSTRACT
A probabilistic model was developed for estimating avian mortality associated with field application of pesticides. Pesticide exposures for individuals were estimated by random sampling from species specific non-parametric distributions of pesticide bait consumption and pesticide concentrations in the field applied pesticide baits and food sources. Mortality was predicted from species specific exposure versus mortality relationships. Individual variations in pesticide sensitivity (mo

ABSTRACT
Environmental liabilities typically have been difficult to quantify due to the inherent uncertainty surrounding these projections. The promulgation of the Sarbanes-Oxley Act, along with studies by the Government Accountability Office, has pushed full disclosure of environmental liabilities to the forefront of corporate policy. Currently, prior to the adoption of ASTM standards by the Securities and Exchange Commission, Monte Carlo simulation can be used to provide defensible cost ran

ABSTRACT
As part of a formal Environmental Impact Assessment for a port development project in Plymouth Sound, UK, the potential risk of a deterioration in water quality from capital dredging was informed by the application of a probabilistic risk approach. In the absence of UK statutory sediment quality guidelines (SQGs) to assess acceptability of dredging operations, non-statutory guidelines are routinely used for comparison. This is not considered a wholly satisfactory approach since non-s

ABSTRACT
Crystal Ball® calculates sensitivities by computing rank correlation coefficients between model inputs (assumptions) and outputs (forecasts) – an approach that is known to provide inaccurate results for correlated assumptions. This  paper describes the Partial Correlation Coefficient (PCC) concept for sensitivity analysis of probabilistic models with correlated inputs. PCCs quantify the strength of a linear relationship between input-output pairs after eliminating the linear