Parameter estimates used for models
Data-driven Simple Thermal Models: The Importance of the Parameter Estimates
... be used as the base-case scenario for future exploration of the potential of the ...lumped parameter model where the heat transfer between the indoor and outdoor temperature nodes is taken into ...
6
Data-driven simple thermal models: the importance of the parameter estimates
... be used as the base-case scenario for future exploration of the potential of the ...lumped parameter model where the heat transfer between the indoor and outdoor temperature nodes is taken into ...
6
Conditional parameter estimates from Mixed Logit models: distributional assumptions and a free software tool
... was used solely with a view to analysing the stability across distributions in the ordering of conditional means, and as such, the specific choice of a base distribution should have only limited ...
22
Conditional parameter estimates from Mixed Logit models: distributional assumptions and a free software tool
... , although, alongside with the Triangular distribu- tion, it then produces the best performance when working with the means of the conditional distributions, i.e. LL ˆ β n . This could suggest some differences in how ...
19
Globally optimal parameter estimates for nonlinear diffusions
... widely used as models for random phenomena that evolve continuously in ...deterministic models described by ordinary differential ...likelihood estimates is difficult, primarily because it is ...
32
Inverse transformed encoding models - A solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding
... trial-by-trial parameter estimates, termed inverse transformed encoding modelling ...trial-wise parameter estimates, as implied by the trial-wise design matrix that is used to generate ...
20
Use of Bayesian Estimates to determine the Volatility Parameter Input in the Black-Scholes and Binomial Option Pricing Models
... pricing models to price options remains ...binomial models might be improved, while still retaining their essential ...extensively used, despite the plethora of more sophisticated models that ...
23
Genetic parameter estimates for weaning weight and Kleiber ratio in goats
... three models (Model 1: without maternal genetic effect, Model 2: with maternal genetic effect and am = 0, and Model 3: with maternal genetic effect and am 0) were used to estimate genetic parameters ...
8
Accounting for parameter uncertainty in the definition of parametric distributions used to describe individual patient variation in health economic models
... mean parameter estimates and stand- ard errors (Additional file ...mean parameter estimates, this approach too often yields extreme and unrealistic outcomes in the health economic ...
12
Parameter inference for stochastic biological models
... (SBML) models [ 64 ...commonly used parameter estimation ...implemented parameter inference techniques are: Evolutionary Programming [ 9 ]; Evolution Strategy (Stochastic Ranking) [ 110 ]; ...
153
The use of Kriging in stochastic model updating and its effect on parameter estimates
... was used for design point sampling with new design points added using the the maximal MSE criterion ...mathematical models and the Kriging ...Surrogate models are needed as substitutes for expensive ...
10
Parameter redundancy and the existence of maximum likelihood estimates in log linear models
... Log-linear models are typically fitted to contingency table data to de- scribe and identify the relationship between different categorical ...is parameter redundant for a pattern of observed zeros in the ...
35
The Influence of Sample Size on Parameter Estimates in Three-Level Random-Effects Models
... longitudinal models, it is often unclear which sample size is necessary for reliable parameter ...effects estimates, whereas higher-level random effects variance estimates require larger ...
18
Discontinuous Parameter Estimates with Least Squares Estimators
... squares estimates and hence are a mechanism through which least squares can be used to estimate discontinuous ...is used to estimate soil moisture from data collected in the Dry Creek Watershed near ...
21
A study on the characteristics of rainfall data and its parameter estimates
... different models have been used in modeling rainfall data ...are used to model the sequence of wet and dry days while the rainfall amount is used to describe the amount of rainfall observed ...
28
SOTER-based soil parameter estimates for Southern Africa
... Figure 5. Conventions for coding the various attributes used in the taxotransfer scheme. A high confidence rating, however, does not necessarily imply that the soil parameter estimates shown will be ...
33
Best Parameter Interval for Ridge Estimates by Resampling Method
... 9 ) ( H tr . As we had already said that the trace of HAT-matrix i.e., DF will be stabilized for the value of to be chosen (Tripp [3], [14]), and it is (approximately) 0.006 to go for the ridge regression. We had ...
12
Comparison of Robust and Varying Parameter Estimates of a Macroeconometric Model
... The pvrpose of this paper is to extend this comparison of estimators by examining the performance of two varying parameter estimation techniques in the context of the same model.. The tw[r] ...
31
Use of Dual-wavelength Radar for Snow Parameter Estimates
... Fig.6 Airborne radar measurements over a weak convective cell and retrievals of the size distributions in comparisons with the in-situ particle measurements: (a) T-39 radar mea[r] ...
42
Parameter Estimation for Bingham Models
... Control Volume Finite- Element Method for Heat Transfer and Fluid Flow Us- ing Colocated Variables — 1. Computational Procedure[r] ...
16