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What is Sensitivity analysis

Chapter 2
Handbook of Research on Advances and Applications in Refrigeration Systems and Technologies
Study of the effects produced on outputs by the variation in the inputs of an analytical model.
Published in Chapter:
The Diffusion Absorption Refrigerator Operation and Performance
Lorenzo De Pascalis (University of Salento, Italy), Giuseppe Starace (University of Salento, Italy), and Federica Carluccio (University of Salento, Italy)
Copyright: © 2015 |Pages: 49
DOI: 10.4018/978-1-4666-8398-3.ch002
Abstract
This chapter focuses on the Diffusion Absorption Refrigerator (DAR) cycle and describes a new advanced thermodynamic model which allows good predictions of the chiller performance in terms of efficiency and cooling capacity, starting from a precise evaluation of the thermo-physical properties of the working mixture at each point of the circuit. A steady state thermodynamic analytical model of the thermal pump driving the DAR is also included. In addition, the experimental validation of the model, performed on a prototype built coupling a domestic 750 W-magnetron with a small purposely modified commercial DAR to activate the thermal pump, is here included: a maximum mismatch of 2.32% in the weak mixture mass flow rate and lower than 5% in COP between the predicted and measured data were found.
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Chapter 3
Financing the Green Building Retrofitting Investments: A Case Study for a Romanian Seaside Hotel
Analysis under which the critical variables of investment are confirmed or not, by observing the elasticity of the valuation indicators depending on the selected variables.
Published in Chapter: Financing the Green Building Retrofitting Investments: A Case Study for a Romanian Seaside Hotel; From: Retrofitting for Optimal Energy Performance
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Chapter 397
An Experimental Sensitivity Analysis of Gaussian and Non-Gaussian Based Methods for Dynamic Modeling in EEG Signal Processing
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Chapter 32
Decision Support Systems
Running a decision model several times with different inputs so a modeler can analyze the alternative results.
Published in Chapter: Decision Support Systems; From: Encyclopedia of Information Technology Curriculum Integration
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Chapter 191
Rough-Set-Based Decision Model for Incomplete Information Systems
Analysis of the uncertainty output in system is evaluated by the different certain or uncertain input.
Published in Chapter: Rough-Set-Based Decision Model for Incomplete Information Systems; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 6
Investigating the Risks of Time and Cost Overruns in Infrastructure Projects
Sensitivity analysis is an analytical technique which assesses the robustness of the project's results to possible changes in key project variables. The analysis is carried out by varying one variable at a time and determining the effect of that change on the final outcome.
Published in Chapter: Investigating the Risks of Time and Cost Overruns in Infrastructure Projects; From: Financial Evaluation and Risk Management of Infrastructure Projects
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Chapter 3
Financial Assessment Model for Energy Streams: Evidence From the Middle East
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Chapter 56
Rough-Set-Based Decision Model for Incomplete Information Systems
Analysis of the uncertainty output in system is evaluated by the different certain or uncertain input.
Published in Chapter: Rough-Set-Based Decision Model for Incomplete Information Systems; From: Advanced Methodologies and Technologies in Business Operations and Management
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Chapter 54
Data Guided Public Healthcare Decision Making
Is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be apportioned to different sources of uncertainty in its inputs. [
Published in Chapter: Data Guided Public Healthcare Decision Making; From: Encyclopedia of Business Analytics and Optimization
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Chapter 23
Structural Identification and Numerical Models for Slender Historical Structures
Is the basis of Finite Element model calibration methods that search the solution using a first order Taylor’s series development that minimizes the error function between the model and experimental data consequently to a modification of the model parameters.
Published in Chapter: Structural Identification and Numerical Models for Slender Historical Structures; From: Handbook of Research on Seismic Assessment and Rehabilitation of Historic Structures
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Chapter 164
Design and Implementation of Scenario Management Systems
Allows changing one or more parametric value(s) at a time and analyzes the outcome for the change. It reveals the impact on itself as well as the impact on other related scenarios.
Published in Chapter: Design and Implementation of Scenario Management Systems; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 147
Nonlinear Programming
The study of how changes in the coefficients of a nonlinear programming problem affect the optimal solution.
Published in Chapter: Nonlinear Programming; From: Encyclopedia of Business Analytics and Optimization
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Chapter 81
Interactive, Flexible, and Adaptable Decision Support Systems
Running a decision model several times with different inputs so a modeler can analyze the alternative results.
Published in Chapter: Interactive, Flexible, and Adaptable Decision Support Systems; From: Encyclopedia of Human Resources Information Systems: Challenges in e-HRM
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Chapter 31
Decision Support Software
Models that can be changed easily and provide answers to “what if” questions.
Published in Chapter: Decision Support Software; From: Encyclopedia of Information Technology Curriculum Integration
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Chapter 9
Reporting Value Using Social Return on Investment Reports: An Overview and Analysis of Reports in Practice
The process of verifying the SROI results and rationalizing findings. The sensitivity analysis builds on an estimation of the extent to which the results would change if the underlying assumptions changed.
Published in Chapter: Reporting Value Using Social Return on Investment Reports: An Overview and Analysis of Reports in Practice; From: Modernization and Accountability in the Social Economy Sector
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Chapter 21
Dynamic Modeling and Parameter Identification for Biological Networks: Application to the DNA Damage and Repair Processes
The study of how uncertainty in the output of a model (numerical or otherwise) can be apportioned to different sources of uncertainty in the model input.
Published in Chapter: Dynamic Modeling and Parameter Identification for Biological Networks: Application to the DNA Damage and Repair Processes; From: Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications
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Chapter 5
Health Technology Assessment in Health Economics
Analysis of the direction and the extent to which the results of the economic evaluation vary when estimates of input variables change.
Published in Chapter: Health Technology Assessment in Health Economics; From: Handbook of Research on Information Technology Management and Clinical Data Administration in Healthcare
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Chapter 51
Scenario Driven Decision Support
allows changing one or more parametric value(s) at a time and analyses the outcome for the change. It reveals the impact on itself as well as the impact on other related scenarios.
Published in Chapter: Scenario Driven Decision Support; From: Encyclopedia of E-Business Development and Management in the Global Economy
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