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statistical model parameter estimation

Parameter estimation for a model with both imperfect test and repair

Parameter estimation for a model with both imperfect test and repair

... the estimation, and to derive expressions for the estimation error in terms of the error in the ...and model assessment methods such as computation of standardized residuals, can be ...other ...

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Parameter estimation and uncertainty quantification for an epidemic model

Parameter estimation and uncertainty quantification for an epidemic model

... the model provide a general idea of times at which additional data will be most informative, they do not tell the whole ...asymptotic statistical theory, together with the data point removal technique, can ...

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A QUASI-LIKELIHOOD APPROACH TO PARAMETER ESTIMATION FOR SIMULATABLE STATISTICAL MODELS

A QUASI-LIKELIHOOD APPROACH TO PARAMETER ESTIMATION FOR SIMULATABLE STATISTICAL MODELS

... a parameter estimation method for a general class of statistical ...such statistical models, which is often the case in stochastic geometric modelling, the idea is to follow a quasi-likelihood ...

13

ELECTROMAGNETIC INTERROGATION USING STOCHASTIC INVERSE PROBLEMS

ELECTROMAGNETIC INTERROGATION USING STOCHASTIC INVERSE PROBLEMS

... nonparametric estimation of probability measures using RSS [4] ...a statistical model are considered as random ...on parameter estimation related to the statistical inversions ...

6

Parameter Estimation for Dynamic Model of the Financial System

Parameter Estimation for Dynamic Model of the Financial System

... by statistical data, is facilitated in particular by methods from various fi elds of mathematics such as diff erential calculus (Aluf, 2012; Balasubramaniam, 2014; Faria, 2013), statistics (David, 2013), (Plaček, ...

5

On statistical testing and mean parameter estimation for zero-modification in count data regression.

On statistical testing and mean parameter estimation for zero-modification in count data regression.

... assumption is correct. This problem has attracted attention earlier; Di- etz and B¨ ohning (2001) observed that ML estimation of the zero–modified Poisson model can be obtained by ML estimation of ...

7

Parameter estimation and model fitting of stochastic processes

Parameter estimation and model fitting of stochastic processes

... Parameter estimation forms an essential part of the statistical inference methodolo- gies, especially for standard models such as Ornstein Uhlenbeck ...72], model fitting of multiscale data ...

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Parameter estimation for an allometric food web model

Parameter estimation for an allometric food web model

... that model our ...ical model (in this case, the ATN model) that allow us to best-fit the observed ...and/or statistical models require ...these statistical and mathematical model ...

49

An inverse problem statistical methodology summary

An inverse problem statistical methodology summary

... on parameter dependent model behavior, yielding a much better understanding of the underlying mathematical model with a resulting marked improvement in the estimation results obtained using ...

56

Hydrological model performance and parameter estimation in the wavelet domain

Hydrological model performance and parameter estimation in the wavelet domain

... furthermore, estimation of model ...to parameter estimation in the time ...of parameter estimation in the wavelet-domain through simple examples and synthetic case studies, ...

16

A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing

A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing

... other model, which may in turn depend on arbitrarily complex interactions of „basic‟ ...on parameter estimation (which is generic across ...a parameter vector 𝒘, such that the mapping 𝐹(𝑥) is ...

8

Thermal damage detection and characterization in porous materials

Thermal damage detection and characterization in porous materials

... of statistical model comparison problems, and finally we use ordinary least squares parameter estimation to consider damage characterization in Section ...

24

Scale Mixture of Gaussian Modelling of Polarimetric SAR Data

Scale Mixture of Gaussian Modelling of Polarimetric SAR Data

... therefore model at the scattering vector level, that is, Single-Look Complex (SLC) data sets, which contain 4-dimensional complex ...polarisation. Statistical modelling is achieved by looking at a small ...

12

Statistical resolution limit for the multidimensional harmonic retrieval model: hypothesis test and Cramér-Rao Bound approaches

Statistical resolution limit for the multidimensional harmonic retrieval model: hypothesis test and Cramér-Rao Bound approaches

... of parameter of interest, for a given scenario ...of statistical resolution limit (SRL), ...resolvability/parameter estimation, is rising in sev- eral applications (especially in problems such ...

14

Improvement of antimicrobial metabolites by Saccharothrix flava VSM-3 using full factorial design and chemotype analysis

Improvement of antimicrobial metabolites by Saccharothrix flava VSM-3 using full factorial design and chemotype analysis

... (RSM) statistical optimization, and kinetic parameter estimation was executed using unstructured models to depict the importance of growth-associated metabolite ...regression model developed ...

10

A Parameter Estimation Model of G CSF: Mathematical Model of Cyclical Neutropenia

A Parameter Estimation Model of G CSF: Mathematical Model of Cyclical Neutropenia

... new model, with the G-CSF coupled to the cell population dynamics, is capable of reproducing the ...mated parameter fitting based simply on an examination of the treated data and the parameter ...

9

Parameter Estimation of a Distributed Hydrological Model Using a Genetic Algorithm

Parameter Estimation of a Distributed Hydrological Model Using a Genetic Algorithm

... benchmark model used, and is therefore a decent simulation, but no better than a very basic ...the model calibration, which is to be ...benchmark model, and are therefore fairly good ...a ...

18

A New Parameter Estimation Method For Software Reliability Model Based On Abc

A New Parameter Estimation Method For Software Reliability Model Based On Abc

... reliability model parameter estimation, the advantage is that the speed and accuracy of the convergence is high, but the disadvantage is that the algorithm is more complex and computationally ...for ...

8

Parameter Estimation and Control of Induction Machine using a new Recursive Algorithm

Parameter Estimation and Control of Induction Machine using a new Recursive Algorithm

... The low maintenance costs, the robustness, the usability are advantages that characterize the induction machine. This latter is widely used in many industrial app-lications and currently there is an significant effort ...

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