Sensitivity Analysis. A summary of the discounted cash flow results from -------------------- varying key assumptions (such as the discount rate, commodity pricing and/or major operating assumptions); and
Sensitivity Analysis. Description: The Grantee will perform the sensitivity analysis to measure the impact of flooding on assets and to apply the data from the exposure analysis to the inventory of critical assets created in the Exposure Analysis Task. The sensitivity analysis should include an evaluation of the impact of flood severity on each asset type and at each flood scenario and assign a risk level based on percentages of land area inundated and number of critical assets affected. Deliverables: The Grantee will provide the following:
Sensitivity Analysis. As discussed, there is a degree of uncertainty associated with the models and data used to devise Australia’s FM reference level. Due to this, the Government’s estimates of emissions and removals from native forests are subject to a significant margin of error and, as the method used here is a replica of the Australian Government’s, it embodies all of the same uncertainties. To account for this, and the potential for future modifications of the method and data sets to alter the FM credit outcomes, sensitivity analysis was undertaken by changing two of the key parameters in FullCAM: the above-ground live biomass yield increment rates and the age-class distribution of the forests subject to harvest. The margin of error associated with the above-ground live biomass yield increment rates was assumed to be ±25%. To account for this range, replica representative plot files were created with +25% and -25% yield increments. The reference and ENGO scenarios were then re-run to test how the lower and higher yield increments affected the credit outcomes. In relation to the uncertainties associated with the age-class distribution of the forests, the estate simulation start date was adjusted ±10 years. In the standard runs, the estate simulation start date was 1 January 1960, meaning that in the sensitivity analysis the simulation start dates were 1 January 1950 and 1 January 1970.
Sensitivity Analysis. In the event of an economic downturn, the business may have a decline in its revenues. Hobby products and supplies are not necessities, and an economic recession may have an impact on the Company’s ability to generate sales as consumers have less discretionary income. However, the business will be able to remain profitable and cash flow positive given its high margins from both retail and online sales.
Sensitivity Analysis. In order to explore the potential impact of a range of variances on the numerical outputs from the option appraisal process, a limited sampling-based sensitivity analysis was conducted. This attempted to understand the main effects of varying key values on the relative prioritisation and scoring of options. The sensitivity analysis conducted considered the variables listed below: Variable 1: Applying overall (group) scores to amended weightings based on the inclusion/exclusion of the weighting identified by individual stakeholder groups Variable 2: Applying individual stakeholder group scores to agreed overall weightings Variable 3: Excluding single individual stakeholder group scores from agreed overall scores and weightings (using an amended mean score) Variable 4: Applying individual group weightings to the same group’s individual scores Detailed results of this sensitivity analysis can be found in the complete Option Appraisal report if required.
Sensitivity Analysis. In the event of an economic downturn, the business may have a decline in its revenues. However, Halloween will continue to come every year, and children will still want to go to haunted houses, and purchase costumes and related products despite deleterious economic conditions. The high margin revenues generated from the sale of admission to the Haunted House coupled with the sale of Halloween related products will ensure the business’ continued profitability on a year to year basis.
Sensitivity Analysis. Sensitivity analyses may be performed to assess the robustness of findings. Results will be stratified by primary diagnosis (patients with SEA with comorbid NP or CRSwNP with comorbid asthma). Post hoc subgroup analyses will be exploratory and descriptive. The following subgroup analysis of selected objectives may be performed, if sample sizes are sufficient: including, but not limited to, eosinophil level at treatment initiation (by range and lower threshold), IgE antibody levels, history of aspirin--exacerbated respiratory disease, history of NP surgery (including time since last surgery and number of NP surgeries), occupational exposure, smoking status, family history, and history of biologic treatment (including duration of last biologic treatment and time since last biologic treatment). The final list of sensitivity and subgroup analyses will be defined in the SAP.
Sensitivity Analysis. In conducting a sensitivity analysis, the CONSULTANT will evaluate the sensitivities of different asset classes (e.g., transportation assets, infrastructure, community/emergency facilities, and natural/cultural/historical resources). The objective will be to evaluate the impacts projected to be incurred to each critical asset class and to assign sensitivity ratings based on impact severity.
Sensitivity Analysis. Analyses on the PP population will be performed for the primary and the secondary efficacy endpoints and serve as supportive analyses for the ITT analyses.
Sensitivity Analysis. Risks and uncertainties inherent in the hydrologic modeling procedures involve methodology selection for each of the components of the hydrologic process, parameter estimation, and the model-building process. In order to evaluate the impact of uncertainties inherent in the hydrologic input parameters on peak flows and volumes, a parameter sensitivity analysis will be conducted on the following major hydrologic input variables: • Retention storage within the watershed, specifically within the area of south of Xxxxx Xx. (Xxxxx Wash) and east of SR 347; • Retention storage within agricultural fields and by major secondary irrigation canals; • Flood storage routing/attenuation by the CAP Canal embankments and through the overchutes; • Xxxxxxx’x “n” values for the sheet flow routing conditions (most of the routing depth around 1.5 feet); • Potential flow diversions out of the watershed from areas near I-8 southeast of the watershed. Flow routing transmission loss is significant for this watershed. However, it will not be included in the hydrology refinement study and will be treated as a safety factor.
