Search results with tag "Sensitivity analysis"
Aspen Tutorial #5: Sensitivity Analysis and Transport ...
courses.washington.edupurity of our water stream through the use of a sensitivity analysis. During a sensitivity analysis (or design specification) Aspen iterates its calculation sequence through a range of values provided for an independent variable, in order to obtain a specified result for a dependent variable (within a certain tolerance). Updating the Simulation:
LECTURE 5: DUALITY AND SENSITIVITY ANALYSIS
www.ise.ncsu.eduSensitivity analysis •Sensitivity is a post-optimality analysis of a linear program in which, some components of (A, b, c) may change after obtaining an optimalsolution with an optimal basis and an optimal objective value . Questions of interests:
Statistical Analysis Plan (SAP)
clinicaltrials.govanalysis, study subjects with missing data on any of the variables in the model will be excluded from the analysis. Analyses of this population is seen as a sensitivity analysis to investigate whether conclusions are sensitive to assumptions regarding the pattern of missing data. 5.2 Subgroups Six subgroups will be analysed.
E9 (R1) Step 5 addendum on estimands and Sensitivity ...
www.ema.europa.eusensitivity analysis should be conducted, in the form of one or more analyses, targeting the same estimand (see A.5.2.). Figure 1: Aligning target of estimation, method of estimation, and sensitivity analysis, for a given trial objective .
2.1 MANUAL WHAT-IF ANALYSIS - TreePlan
treeplan.comSensitivity Analysis Using Excel 2 The main goal of sensitivity analysis is to gain insight into which assumptions are critical, i.e., which assumptions affect choice.
Major Equipment Life-cycle Cost Analysis
www.dot.state.mn.usBased on Monte Carlo simulation sensitivity analysis results, the time factor and engine factor were found to be the most sensitive input variables to the LCCA model. This leads to
Introduction: Sensitivity Analysis - andrea saltelli
www.andreasaltelli.eu3 parameters. In this context, the investigation of computer code experiments remains an important challenge. This computer code exploration process is the main purpose of the Sensitivity
PEGASUS METHOD
www.pegasusprojekt.deWith the help of the sensitivity analysis, the variables which contribute most to a possible improvement of the testing goal are identi-fied. Based on this identification, the number of relevant parameters can be reduced dra-matically. Empirical studies in the project have shown that in many cases the numbers of
An Introduction to Sensitivity Analysis - MIT …
ocw.mit.edu1: Lemonade ready in stand 1: 60.00 1: 40.00 1 1 1 1 1: 20.00 0.00 2.00 4.00 6.00 8.00 Hours Figure 2: Base run of the Lemonade Stand model Now let’s assume that the demand for lemonade changes. At time 1 hour, we introduce a step increase of 5 cups in “Buying lemonade.” Figure 3 shows the resulting
Current status of Seismic Hazard Map in Korea - J …
www.j-shis.bosai.go.jpProcedure for PSHM 1. PSHM Methodology –Comparison with various PSHM Methodology 2. Sensitivity Analysis of Input Parameters …
Global Drinking Water Quality Index: development and ...
www.un.orgDevelopment and Sensitivity Analysis Report A third index, the ‘minimal’ index, was calculated as the average of the normalized values for only
Sensitivity Analysis - Supertree
www.supertree.netSENSITIVITY EXAMPLE Sensitivity analysis is an important step in decision analysis. It helps you gain insight into the nature of decision problems, saving time and