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Topic: Sensitivity analysis

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	Sensitivity analysis of ecosys-87: an emphasis on the ingestion pathway as a function of a radionuclide and type of ...
		Sensitivity analysis of ecosys-87: an emphasis on the ingestion pathway as a function of a radionuclide and type of disposition
		Parameters that were not important for any of the radionuclides considered under this scenario were those related to timing and length of crop harvest, transfer of radionuclides from leaf surfaces to edible portions of plants, rate at which radionuclide concentrations in plants decrease due to growth dilution, and time for animals to reach marketable size.
		Hinton, T.G. Sensitivity analysis of ecosys-87: an emphasis on the ingestion pathway as a function of a radionuclide and type of disposition.
	www.uga.edu /srel/Reprint/1839.htm (359 words)

	Sensitivity analysis - Wikipedia, the free encyclopedia
		Sensitivity analysis is the study of how the variation in the output of a model (numerical or otherwise) can be apportioned, qualitatively or quantitatively, to different sources of variation.
		Sensitivity Analysis is popular in financial applications, signal processing, neural networks and many other areas.
		A sampling-based sensitivity is one in which the model is executed repeatedly for combinations of values sampled from the distribution (assumed known) of the input factors.
	en.wikipedia.org /wiki/Sensitivity_analysis (368 words)

	2.4 Sensitivity and Sensitivity/Uncertainty Analysis
		The aim of sensitivity analysis is to estimate the rate of change in the output of a model with respect to changes in model inputs.
		The choice of a sensitivity analysis method depends to a great extent on (a) the sensitivity measure employed, (b) the desired accuracy in the estimates of the sensitivity measure, and (c) the computational cost involved.
		Sensitivity measures that are appropriate for this type of analysis include the response from arbitrary parameter variation, normalized response and extrema.
	www.ccl.rutgers.edu /~ssi/thesis/thesis-node14.html (331 words)

	Population Health Metrics \| Full text \| A note on the use of sensitivity analysis to explore the potential impact of ... (Site not responding. Last check: 2007-10-17)
		For the purposes of sensitivity analysis, we assume that a proportion, θ, of the "de-institutionalised" population have some level of functional limitation, whereas the prevalence of functional limitation for the remainder of the community dwelling population at time two is identical to the corresponding prevalence at time one.
		Sensitivity analyses for summary measures employing severity or preference weighting of health states, such as health adjusted life expectancy (HALE) [8] are also possible, provided plausible average weights for the institutional population are available for the time periods being compared.
		Sensitivity analysis based on equation (3) could be used to explore the possibility that observed differences in the prevalence of non-institutionalised limitation could be attributable to differential access to institutional care.
	www.pophealthmetrics.com /content/2/1/3 (3355 words)

	Sensitivity Analysis
		Sensitivity analysis, which studies how the solution changes when input parameters are changed, has long been studied.
		In animated sensitivity analysis, input parameters are changed continuously and the solution is recalculated and displayed in less than 1/30th of a second, thereby producing an animated picture of the evolution of the solution as inputs are varied.
		Animated sensitivity analysis is also quite closely related to dynamic queries [Ahlberg, Williamson, and Shneiderman, 1992] and to brushing [Becker and Cleveland,1987], [Becker, Cleveland and Wilks, 1987].
	orcs.bus.okstate.edu /jones98/sensitiv.htm (462 words)

	Paper 97/1 Sensitivity anaysis
		Sensitivity analysis (SA), broadly defined, is the investigation of these potential changes and errors and their impacts on conclusions to be drawn from the model.
		Sensitivity analysis (SA), broadly defined, is the investigation of these potential changes and errors and their impacts on conclusions to be drawn from the model (e.g.
		The potential simplicity of sensitivity analysis is one of its attractions: an analysis which is not understood is unlikely to be believed.
	www.general.uwa.edu.au /u/dpannell/dpap971f.htm (7229 words)

	CiteULike: Sensitivity analysis of discrete stochastic systems. (Site not responding. Last check: 2007-10-17)
		Sensitivity analysis quantifies the dependence of system behavior on the parameters that affect the process dynamics.
		Classical sensitivity analysis, however, does not directly apply to discrete stochastic dynamical systems, which have recently gained popularity because of its relevance in the simulation of biological processes.
		In this work, sensitivity analysis for discrete stochastic processes is developed based on density function (distribution) sensitivity, using an analog of the classical sensitivity and the Fisher Information Matrix.
	www.citeulike.org /user/rklancer/article/265816 (346 words)

	Sensitivity Analysis :: Analysis (SimBiology)
		Sensitivity analysis lets you calculate the time-dependent sensitivities of all the species states with respect to species initial conditions and parameter values in the model.
		Sensitivities are calculated with respect to the initial conditions of the specified species.
		Sensitivities are calculated with respect to the values of the specified parameters.
	www.mathworks.com /access/helpdesk/help/toolbox/simbio/ug/bqauxvk-1.html (1163 words)

	1999 Building Publications - Sensitivity Analysis. (Site not responding. Last check: 2007-10-17)
		Sensitivity analysis measures the impact on project outcomes of changing one or more key input values about which there is uncertainty.
		When computing measures of project worth, for example, sensitivity analysis shows just how sensitive the economic payoff is to uncertain values of a critical input, such as the discount rate or project maintenance costs expected to be incurred over the project's study period.
		Sensitivity analysis reveals how profitable or unprofitable the project might be if input values to the analysis turn out to be different from what is assumed in a single-answer approach to measuring project worth.
	fire.nist.gov /bfrlpubs/build99/art012.html (199 words)

	Sensitivity Analysis
		Sensitivity analysis is “a general means to ascertain the sensitivity of system (model) parameters by making changes in important variables and observing their effects;” it is useful in impact analysis and policy analysis (Porter, et al., 1980).
		Sensitivity analysis involves testing a model with different data sets to determine how different data and different assumptions affect a model.
		"Sensitivity," here, is defined as “the ratio between the fractional change in a parameter that serves as a basis for decision to the fractional change in the simple parameter being tested” (Porter, et al., 1980).
	www.bsu.edu /web/jcflowers1/rlo/tasensitivity.htm (327 words)

	Sensitivity Analysis Setup
		Sensitivity Analysis measures the relative sensitivity of the variable to a variation in each device value and parameter in the circuit.
		The Sensitivity Analysis Setup dialog commands an AC or DC sensitivity analysis to be performed.
		The circuit is linearized about the bias-point, and the sensitivities of the output variables to device values and model parametric tolerances are calculated and output.
	www.cadmigos.com /manual/userman/um0167.htm (181 words)

	DEQ - Sensitivity Analysis
		A sensitivity analysis is the process of varying model input parameters over a reasonable range (range of uncertainty in values of model parameters) and observing the relative change in model response.
		The purpose of the sensitivity analysis is to demonstrate the sensitivity of the model simulations to uncertainty in values of model input data.
		Sensitivity analyses are also beneficial in determining the direction of future data collection activities.
	www.michigan.gov /deq/0,1607,7-135-3313_21698-55865--,00.html (146 words)

	Wiley::Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
		Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place.
		For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors.
		It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models.
	www.wiley.com /WileyCDA/WileyTitle/productCd-0470870931,subjectCd-ST21.html (316 words)

	OU-4 Solar Pond Remediation Project at Rocky Flats
		This was done to maintain consistency with the DPL sensitivity analysis and to circumvent technical constraints introduced by the spreadsheet models.
		Traditional methods of sensitivity analysis were not applicable to the Correlative model because correlations among risks made it impossible to isolate the impacts of individual risks.
		Finally, utility of sensitivity analysis was scored based on the method of measuring uncertainty as well as the graphical portrayal of results.
	www.colorado.edu /engineering/civil/cem/Faculty/doe/ou4/ou4.html (5528 words)

	Sensitivity Analysis in Atmospheric Chemistry
		The purpose of this project was to evaluate the sensitivity of the overall model predictions with respect to a variety of model parameters.
		The sensitivity studies were performed under typical atmospheric conditions ranging from rural to heavily polluted atmospheres.
		Photochemical ozone formation is much more sensitive to the changes of reaction rate constants under polluted atmospheres (with sensitivity 5-20 orders of magnitude higher than that in relatively clean atmospheres).
	www-unix.mcs.anl.gov /autodiff/highlights/matchm.html (605 words)

	SENSITIVITY ANALYSIS (Site not responding. Last check: 2007-10-17)
		A procedure to determine the sensitivity of the outcomes of an alternative to changes in its parameters (as opposed to changes in the environment; see contingency analysis, a fortiori analysis).
		If a small change in a parameter results in relatively large changes in the outcomes, the outcomes are said to be sensitive to that parameter.
		This may mean that the parameter has to be determined very accurately or that the alternative has to be redesigned for low sensitivity.
	pespmc1.vub.ac.be /ASC/SENSIT_ANALY.html (78 words)

	Meta-Analysis of State Polls - election.princeton.edu
		A more plausible possibility is that exit polls themselves are biased, for instance by the identity of the questioner or the temperament of the respondent.See my analysis of exit polls.
		My analysis of this is in the validation of 2004 results.
		Bias analysis: The potential effects of differential turnout, splitting undecided voters, or systematic polling bias are as follows.
	synapse.princeton.edu /~sam/pollcalc.html (11833 words)

	Energy Citations Database (ECD) - Energy and Energy-Related Bibliographic Citations (Site not responding. Last check: 2007-10-17)
		To aid in the analysis of the output calculated by D2PC, this sensitivity analysis was conducted to provide information on model response to a variety of input parameters.
		The sensitivity analysis focused on six accidental release scenarios involving chemical agents VX, GB, and HD (sulfur mustard).
		Sensitivity varied not only with parameter, but also over the range of values input for a single parameter.
	www.osti.gov /energycitations/product.biblio.jsp?osti_id=10174720 (275 words)

	ESS - Environmental Software & Services - Project GAIA
		We made a sensitivity analysis for a set of them regarding the time spent in a bus and to the number of contacts that can favour the transmission of the disease.
		The fractioned factorial analysis proposes to run only a fraction of all the possible runs, since the main effects would anyway be maintained (Box et al., 1978).
		We analysed the sensitivity in 1- and 10-year runs, with a pre-iteration of 100 days to reduce the effect of initial conditions.
	www.ess.co.at /GAIA/CASES/ARG/sentbcol.htm (1395 words)

	D. LONG-RANGE SENSITIVITY ANALYSIS
		This appendix presents estimates which illustrate the sensitivity of the long-range actuarial status of the OASDI program to changes in selected individual assumptions.
		In the sensitivity analysis presented in this appendix, the intermediate alternative II projection is used as the reference point, and one assumption at a time is varied within that alternative.
		2The average annual death-rate reductions used for this analysis are 0.30 percent from the alternative I assumptions, 0.72 percent from the alternative II assumptions, and 1.27 percent from the alternative III assumptions.
	www.ssa.gov /OACT/TR/TR05/VI_LRsensitivity.html (2885 words)

	Decision-Tree Sensitivity Analysis for Cost-Effectiveness of Chest 2-Fluoro-2-D-[18F]Fluorodeoxyglucose Positron ...
		Results of sensitivity analysis of FDG-PET cost per study on expected marginal costs (measured in yen) and expected marginal costs for life expectancy gain (yen/yr/patient) calculated for the two competing strategies of chest CT alone vs chest CT plus chest FDG-PET.
		Results of the sensitivity analysis for the specificity of FDG-PET for lung cancer on expected marginal costs per patient (measured in yen) and expected life expectancy gain (year/patient).
		Results of the sensitivity analysis for the prevalence of lung cancer on expected marginal costs per patient (measured in yen) and expected life expectancy gain (yr/patient).
	www.chestjournal.org /cgi/content/full/117/2/346 (3995 words)

	Operator algebra page of N. C. Phillips
		Analysis and noncommutative geometry at the University of Manchester.
		Wabash Modern Analysis Seminar, regional functional analysis seminar for Indiana and Illinois, usually 4 to 5 one day events each academic year, with less frequent larger events.
		Iowa-Nebraska Functional Analysis Seminar (INFAS), a one day regional conference held twice a year (usually in April and October) in Des Moines IA and attended by groups from the University of Iowa, Iowa State University, and the University of Nebraska; there are occasional larger events.
	darkwing.uoregon.edu /~ncp/OpAlgResources/OpAlgPages/opalg.html (1256 words)

	Sensitivity Analysis
		The objectives of this project are to design a flexible pavement structure using the 1993 AASHTO procedure, discuss the sensitivity of the design procedure to the input parameters, and to compare the costs of various design alternatives.
		The sensitivity of the design procedure was illustrated by varying input parameters, such as layer modulus and drainage coefficient.
		The thickness of the asphalt concrete layer is not dependent on the subbase modulus, the roadbed modulus, or the drainage coefficient.
	www.msu.edu /~berlinwe/entire_report.htm (2523 words)

	Sensitivity Analysis
		Sensitivity analysis is a technique for examining the effects of changes in model parameters on the optimal solution.
		The analysis enables you to examine the size of a perturbation to the right-hand-side or objective vector by an arbitrary change vector for which the basis of the current optimal solution remains optimal.
		Note: When sensitivity analysis is performed on integer constrained problems, the integer variables are fixed at the value they obtained in the integer optimal solution.
	www.asu.edu /it/fyi/unix/helpdocs/statistics/sas/sasdoc/sashtml/ormp/chap3/sect35.htm (510 words)

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