Validation Overview. ❍ Examples. ❍ Quality and confidence. ❍ Technologies. ❑
Validation Applications ... 3D CAD Model Validation. Legacy Migration Validation
. CAD A. CAD B ? Half of this model was lost .... CAD to 3D PDF. ❍ CAD to JT.
Nov 18, 2013 ... D21.3: Powertrain Model Validation (version 14, 2013-11-18) ii. Control sheet.
Version ...... Figure 30: Curve of the Nissan Leaf's electric motor.
May 4, 2010 - Long live cross- validation! Model validation based on resampling. Knut Baumann. From 5th German Conference on Cheminformatics: 23. CIC- ...
computer model with sufficient accuracy (Davis, 1992); in other words, building the ..... simulation software vendors offer a help desk service with which specific ...
model of the PC-LAN we carried out a walk-through of the simplified model ... It is important to remember that validation does not imply verification, nor verifica-.
(model verification) and whether the assumptions which have been made are reasonable ... The walk-through allowed us to detect that we needed to distinguish states .... the model should ideally be led by someone other than the modeller, ...
tasks is achieved through the use of services: tasks re- ... the generated scheduling application. ... Model-based software generation reduces the application.
In support of this need, the military requires a responsive family of Models, Methods, and Tools (MMT) able to credibly represent US and Coalition ground forces.
Nor is the modeller's candor sufficient â he/she may honestly report fitting only ... Schmalensee(1980), Ashley(1981), Meese and Rogoff(1988), and Diebold and ...
increased regulatory scrutiny, they are required to ... termine whether the bank's regulatory capital levels are suffici
There are two steps to judging how good a model is with respect to the system. We must ... modelling, and modelling-specific techniques are discussed below.
Oct 14, 2014 - 4m, n, o), the analysis indicates (Fig. 4m) the predom- inance of ..... (MME) Technique for Cyclone Track Prediction over the North. Indian Sea ...
using MDA for software development, there remain many challenges for the process of software validation, and in par- tic
Banks are increasingly turning to predictive analytics as a key component of their risk management strategies, especiall
Jun 2, 2010 - Email: [email protected]. AbstractâModel selection .... Sender S and receiver R agree on a clustering principle. R(c, X(1)) and on a ... noise free X(1) â¡ X(2); (ii) all clusters have the same number of objects assigned to.
development. These can include project managers, project team members, requirement engineers, risk managers, functional managers, company executives ...
and is a market leader in the provision of retail banking, wealth management, ... its entire lifecycle and provide comprehensive information on the model; and ... Models are deployed in line with business and IT (e.g. security) requirements.
J. C. Doyle is with the California Institute of Technology, Pasadena, CA. 91125. IEEE Log Number 9200619. Once a model has been determined, perhaps by ad- ...
In this thesis, we review the use of cross-validation for model selection and pro- ...... In Chapter 3, we propose the MultiTest algorithm using cross-validation.
May 27, 2016 - The DecisionFlow2 visual analytics system is shown here displaying .... Visualization has long been used to support predictive analysis tasks.
Propulsion thruster1 based on an Indium Liquid-Metal Ion Source (LMIS). For this ... After a certain threshold current Ic, instabilities at the jet cause the emission of .... a trade off study regarding the power budget, for a certain mass efficiency
April 5, 2006. Introduction. Here we present a carefully defined challenge problem which ... physicists; c) exact solutions to the corresponding governing ...
Biophysics, King's College London, New Hunt's. House, Guy's Campus, London, SE1 1UL, UK, and bk.-k. ... [email protected], [email protected].
This includes part of the Shettles's aerosol data (rural, urban, maritime and tropospheric)[8] .... The way this method has been applied to MATISSE background.
Nov 18, 2016 - one concentration. More confidence to those data points. WEIGHTING. Homoscedastic. Heteroscedastic. (More weight on those data points in.
An analyst-independent, unbiased procedure for selection and validation of a calibration model Brigitte Desharnais, Félix Camirand-Lemyre, Pascal Mireault, Cameron D. Skinner CBGRC 2016 Montréal, Québec, Canada Friday, November 18th 2016
Data treatment software offer different calibration models to fit data Cocaine Order Weighting
Linear
Quadratic
No weight
1/x 1/x2
2
Traditional methods are biased and perform poorly
Linear, No Weight
QC Identification
Accuracy
QC Low
15%
QC Middle
11%
QC High
8%
3
Traditional methods are biased and perform poorly
Linear, No Weight
Linear, 1/x
QC Identification
Accuracy
QC Low
30%
QC Middle
26%
QC High
19%
QC Identification
Accuracy
QC Low
27%
QC Middle
23%
QC High
17%
4
Traditional methods are biased and perform poorly
Linear, 1/x
2
Quadratic, No Weight
QC Identification
Accuracy
QC Low
26%
QC Middle
23%
QC High
18%
QC Identification
Accuracy
QC Low
17%
QC Middle
15%
QC High
12%
4
Traditional methods are biased and perform poorly Success Rate of “Fit and Check” method
Model
Weight
Order
Linear, No Weight
100%
100%
Linear, 1/x
2%
83%
Linear, 1/x2
32%
67%
Quadratic, No Weight
33%
44%
Quadratic, 1/x
79%
24%
Quadratic, 1/x2
34%
48%
5
Choosing the correct calibration model is important for QC accuracy Data is quadratic: Improvement provided by using a quadratic model rather than a linear model 1
1/x
1/x2
Minimum:
-155%
-20.1%
-18.5%
Maximum:
-2.40%
-0.26%
-0.03%
“It was found that for analytical data with heteroscedastic proportional error, neglecting the weightings could result in as high as one order of magnitude of precision loss in the low concentration region.” Gu et al. Analytical Chemistry, 2014-86-8959. 6
A defined method is required for the selection and validation of the correct calibration model
Weight Selection - Residuals graph - F-test - Cochran test
Order Selection - Residuals graph - ANOVA-LOF - Partial F-test - Significance of the second order term
Model Validation
- Residuals graph - ANOVA-LOF - Normality testing of the residuals
7
A defined method is required for the selection and validation of the correct calibration model Is weighting required? Heteroscedasticity testing through F-test
Which weight? Variance evaluation
Which order? Partial F-test
Model validated? Normality testing of the residuals
8
A defined method is required for the selection and validation of the correct calibration model
8
Heteroscedasticity testing through the F-test Heteroscedastic
Homoscedastic
Error smaller at one concentration
More confidence to those data points
WEIGHTING (More weight on those data points in regression calculation)
Heteroscedasticity testing through the F-test
Comparison of Fcalc with the F Distribution Table.
Cocaine p-value 6.896x10-9 Weighting required.
p>0.05 : Homoscedastic data No weighting p0.05 : Model Validated p
