Variables and Parameters in the Model
A nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parameters
... Fuzzy arithmetic; Fuzzy optimal solution; Triangular fuzzy numbers Abstract Several methods currently exist for solving fuzzy linear programming problems under nonnegative fuzzy variables and restricted fuzzy ...
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Interval Estimation of a P(X12) Model for Variables having General Inverse Exponential Form Distributions with Unknown Parameters
... There has been continuous interest in the problem of estimating the stress–strength reliability, R P X X , where X and X are independent random variables. The parameter R is referred to as the reliability ...
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Video data collection method for pedestrian movement variables & development of a pedestrian spatial parameters simulation model for railway station environments
... Pedestrian modelling is frequently used for making decisions regarding the planning, design, and management of pedestrian areas. The outputs of these models can include flows on certain routes, entry and exit counts, and ...
426
Chance constraint problem having parameters as pareto random variables
... decision variables in the chance constraints as Pareto random ...reduced model. This method leads to an efficient reduced model as well as an optimal compromise ...
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Model checking in errors-in-variables regression
... Model 2 0.999 1.000 1.000 1.000 1.000 Model 3 0.991 1.000 1.000 1.000 1.000 fixed alternative and obtain asymptotic power against a class of local alternatives orthogonal to the parametric model ...
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Model selection and model averaging in nonparametric instrumental variables models
... Abstract This paper considers the problem of choosing the regularization parameter and the smoothing parameter in nonparametric instrumental variables estimation. We propose a simple Mallows’ C p -type criterion ...
46
Model selection and model averaging in nonparametric instrumental variables models
... Abstract This paper considers the problem of choosing the regularization parameter and the smoothing parameter in nonparametric instrumental variables estimation. We propose a simple Mallows’ C p -type criterion ...
46
The Effect of Physical Parameters on Flow Variables of an Electrically Conducting Viscoelastic Fluid
... The variables and parameters used in this study and their meanings are as follows: ST thermal Grashof number; SV modified Grashof number; `V Schmidt number; time; W Hartmann number; Pr Prandtl number; c _ ...
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Exploring the influence of multiple parameters on incomplete packages : a simulation study on the influence of multiple parameters and variables at assembly and outbound logistics
... simulation model, different aspects must be taken into ...the model should represent the reality in such a way that the conclusions and recommendations are ...the model can be used to investigate the ...
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Mathematical programming problems having parameters as gamma random variables in chance constraints
... programming model. Sarkar et al. [25] studied CCP, where the parameters are lognormal in na- ture and extended their study in some managerial apllications and Fisher’s discriminant function for separation ...
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Robust estimation of hydrological model parameters
... hydrological model parameters is a challenging ...The parameters of fitted hydrological models depend upon the input ...hydrological model. To see the effect of observational error on ...
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DSGE model-based forecasting of non-modelled variables
... DSGE model parameters follows DSSW and the specification of what is called a “standard” prior in Del Negro and Schorfheide (2008) and is summarized in the first four columns of Table ...for ...
43
KINEMATIC ENDPOINT VARIABLES AND PHYSICS BEYOND THE STANDARD MODEL
... track parameters and covariance matrix are updated using a weighted average of the extrapolated track and the measured ...track parameters at the inner layer, and thus the most precise extrapolation ...
154
Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model
... In summary, our study has two main outcomes: • There are two spectral regions in the VNIR region which are less well-modelled by PROSAIL independently of crop type: the green visible and the red edge. This can be ...
14
Estimating Causal Parameters in Marginal Structural Models with Unmeasured Confounders Using Instrumental Variables
... In this section we examine the applicability of the IV estimators for different counterfactual MSMs. The performance of the TSLS and EE are evaluated on data sets generated by Monte-Carlo simu- lations. The IV estimators ...
18
Linear regression in the parameters study of an econometric model
... conditions, Model, method of ordinary least ...plusieurs variables bien déterminées; donc une variable économique qui explique les comportements des grandeurs économiques observées qui influencent la ...
7
Multiwavelength light curve parameters of Cepheid variables
... Cepheid variables using Fourier ...curve parameters as a func- tion of period, wavelength and ...amplitude parameters decrease with increase in wavelength while the phase parameters increase ...
5
Oracle PL/SQL Parameters, Variables, and Views
... the variables had a name that was unique to the ...ampersand variables with the same name, Oracle will still prompt you to enter values for each of the variables (unless a permanent variable is ...
10
Using SAP HANA Variables and Parameters in SAP BusinessObjects BI4.0
... Creating a derived table exposing parameters Creating a first version of the derived table to validate the syntax In the data foundation you should create a new empty derived table. Note: the best practices tell ...
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Hypoxia parameters, physical variables, and severity of obstructive sleep apnea
... ia parameters and physical abnormalities in patients who have similar ...physical parameters on the severity of OSA, and the clinical importance of this relation for ...
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