Articles and Case Studies from Oracle

Crystal Ball and Minitab

IntroductionThe 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 ...

Feb. 12, 2007 Andy Sleeper

Composition and Contaminant Loads of Residual Household Waste Part III: Physico-Chemical Properties and Contaminant Concentrations

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 ...

Feb. 9, 2007 Weigand, H. & Marb C.

Monte Carlo Simulations and Corporate Risk Management in Germany

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 ...

Jan. 24, 2006 Diana Wieske; Rolf van der Meer

Engineering Eestimates for Environmental Liabilities using Crystal Ball

ABSTRACTEnvironmental 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 ...

Jan. 1, 2005 John A. Rhodes, P.E.; Keith P. Brodock

Probabalistic Risk Assessment for Pesticides: Estimating Effect Levels for Target and Non-Target Species

ABSTRACTA 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 ...

Jan. 1, 2005 John J. Johnston

Sensitivity Analysis with Correlated Inputs – an Environmental Risk Assessment Example

ABSTRACTCrystal 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 ...

Jan. 1, 2004 Srikanta Mishra

Water Quality Risk Assessment for Dredging Operations, Plymouth Sound, UK

ABSTRACTAs 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 ...

Jan. 1, 2004 Tim Wells

Environmental Liabilities and Simulation

Environmental costs are incurred by organizations in response to requirements of federal statutes (e.g., Clean Water Act, Clean Air Act, Oil Pollution Act) or state and local laws, and may be incurred either voluntarily or as part of a program to ...

Jul. 1, 2003 By Jon B. Hoogenboom

Application of Monte Carlo Analysis for Assessing Radiation Doses and Risks to Humans

ABSTRACTThis BIOMASS Theme 2 report has been produced by the Remediation Working Group, which is concerned with the evaluation of the reliability of dose and risk assessment methodologies applied in support of decisions related to the ...

Nov. 2, 2002 Pawel Krajewski

Quantitative Uncertainty Analysis of Superfund Residential Risk Pathway Models for Soil and Groundwater: White Paper

1. INTRODUCTIONThe quantitative assessment of uncertainties in the exposure parameters for the individual exposure pathways provides considerable information about the variability and sensitivity of the calculated results. These results are ...

Feb. 1, 1996 Emran Dawoud; Steve Purucker

An Introductory Guide to Uncertainty Analysis in Environmental and Health Risk Assessment

EXECUTIVE SUMMARYThis report presents guidelines for evaluating uncertainty in mathematical equations and computer models applied to assess human health and environmental risk. Uncertainty analyses involve the propagation of uncertainty in model ...

Dec. 1, 1994 J. S. Hammonds; F. O. Hoffman; S. M. Bartell

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