a priori model parameter estimation
Parameter estimation techniques for a polarization hysteresis model
... regularization parameter α > 0 controls the tradeoff between goodness of fit to the data and stability whereas the penalty functional J provides stability and allows the inclusion of a priori information ...
9
Parameter Identifiability and Parameter Estimation of a Diesel Engine Combustion Model
... a priori knowledge: the model has to be ...necessitates model with smooth function which is not the case of our model and more some output derivatives of high order may be es- ...a ...
7
A Priori Modeling for Gradient Based Inverse Scattering Algorithms
... Gaussian parameter distribution together with an application of the MAP ...this parameter model is not physically justified, the statistical analogue is useful for characterizing the balance between ...
26
Integrating point glacier mass balance observations into hydrologic model identification
... the model parame- ters can also be estimated in sequence following the classical Bayesian approach: after having estimated a first parame- ter distribution with a first data set, every additional data set can be ...
15
Linguistically motivated parameter estimation methods for a superpositional intonation model
... The results of the experiments with this approach are shown in Table 4. When we gathered these results, only a small number of sentences labelled with lexical stress was available. Therefore, our results are restricted ...
13
Online State Space Model Parameter Estimation in Synchronous Machines
... In this paper, the theoretical relation based approach, which uses the known least square error method, has been presented to identify the nonlinear 3 rd order synchronous generator state space model parameters. ...
9
Estimation of Zero-Inflation Parameter in Zero-Inflated Poisson Model
... Poisson model (Lambert, ...(ZIP) model over Poisson distribution was discussed by Rideout ...likelihood estimation (MLE) and moment estimation (ME) methods for estimation of parameters ...
6
Parameter Estimation of a Distributed Hydrological Model Using a Genetic Algorithm
... The results show that there is a high variability in the yearly NSE values, with some being close to 1, while others were below 0.5. This can be partially explained by the differences in the hydrographs between years. ...
18
Subdynamics of financial data from fractional Fokker Planck equation
... the estimation procedure described at the beginning of this section first we calculate sizes of the ...the estimation procedures base only on this realizations of α-stable random variables that are above ...
13
Modelling SME Commercial Lines
... TOBIT model. Occupancy is present but on this model the riskiest Occupancy is FOOD HANDLING instead of LEISURE AND RECREATIONAL on Building ...this model too as it has been said in previous ...the ...
101
PARAMETER ESTIMATION OF EXPONENTIAL HIDDEN MARKOV MODEL AND CONVERGENCE OF ITS PARAMETER ESTIMATOR SEQUENCE
... the parameter estimator, a maximum likelihood method is used. Numerical approximation is used through an Expectation Maximization (EM) algorithm. Under the continuous assumption, the sequence {φ (k) } obtained by ...
10
Insights on the role of accurate state estimation in coupled model parameter estimation by a conceptual climate model study
... inflated parameter ensem- ble will influence state variables, no inflation is applied to the model state ...the parameter en- semble is below some limit (40 % of the initial spread), a fac- tor is ...
15
Parameter Estimation and Control of Induction Machine using a new Recursive Algorithm
... parametric estimation of the electric motors have widely integrated the optimization ...the estimation procedures use complex algorithms for the parametric ...physical model and of the optimization ...
5
A priori SNR estimation and noise estimation for speech enhancement
... power estimation is also a key factor in speech enhancement, which can usually be obtained through many approaches such as voice activity detection (VAD), minimum statistics (MS), and ...the estimation of ...
15
Parameter Estimation of Vehicle Handling Model Using Genetic Algorithm
... This paper implements a derivative free optimization method called `Genetic Algorithm' to estimate the parameters of a four-wheel, three degrees of freedom vehicle handling model. At rst the model is ...
7
AN ENHANCED METHOD OF LMS PARAMETER ESTIMATION FOR SOFTWARE REALIABILITY MODEL
... involves estimation of software reliability or its alternate quantities from failure ...reliability model is to forecast failure behavior that will be experienced when the program is ...
9
Estimation of the scale parameter of gamma model in presence of outlier observations
... and TSOKOS, C.P., A Study of an Ordinary and Empirical Bayes Approach to Reliability Estimation in the Gamma Life Testing Model, Proceedings 1971 Annual Reliability and Malntalnabil.ty S[r] ...
7
An improved swarm optimization for parameter estimation and biological model selection
... the parameter estimation capability of the current optimization methods, especially when noisy and incomplete experimental measurements are ...produced model outputs that are valid to the ...
16
Predicting the Hypoxic‐Volume in Chesapeake Bay with the Streeter–Phelps Model: A Bayesian Approach 1
... For the Chesapeake Bay, and elsewhere, models have become important tools for guiding decisions on nutrient load reduction (NRC, 2000; Arhonditsis and Brett, 2004; Arhonditsis et al., 2006). In developing and assessing ...
16
M estimator and D optimality model construction using orthogonal forward regression
... a model with too small model size with insufficient approximation accuracy, so = 0:0001 was used to allow larger models and better approximation accu- ...square parameter estimates, in the sense that ...
8