statistical model parameters estimation
Bayesian estimation of parameters in a regional hydrological model
... Ecomag model for prediction of daily streamflow in ungauged ...Ecomag model is applied as a regional model to nine catchments in the NOPEX area, using Bayesian statistics to estimate the posterior ...
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Statistical methods for estimation of biochemical kinetic parameters
... for statistical tools that are capable to extract information from fluctuations in molecular ...unobserved model variables [Finkenstadt et ...kinetic parameters of stochastic biochemical ...on ...
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Statistical Model For Risk Estimation
... the parameters, the log- likelihood function is skewed and not at all like the quadratic, symmetric log-likelihood of the approximating normal ...the parameters may be unstable, and standard errors that are ...
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Distributions of Maximum Likelihood Estimators and Model Comparisons
... specified statistical model. Inferences about the parameters from sample data can be based on descrip- tors of this ...the model that is assumed for ...the estimation model is ...
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Inference of Population History Using a Likelihood Approach
... explicit model of sequence evolution for the DNA segment under ...Tamura-Nei model with heterogeneous mutation rates is a fair description of the evolutionary process of the hypervariable region I of the ...
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Assessing Software Quality with Time Domain Pareto Type II using SPC
... linear estimation, study of system reliability, life testing, survival analysis, data compression and many ...Using Statistical Process Control (SPC), we can monitor when the software failures occurs, that ...
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Extracting statistical parameters of extreme precipitation from a NWP model
... the standard deviation in the Gumbel distribution, but this distribution is found valid for the Icelandic data (Eliasson, 1997). The map is also used for PMP (Probable Maximum Precipitation) estimation (Eliasson, ...
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Noise and Signal Estimation in MRI: Two-Parametric Analysis of Rice-Distributed Data by Means of the Maximum Likelihood Approach
... simultaneous estimation of both the image noise and the signal within the Rician statistical ...both parameters’ estimation by proposed technique has appeared to be not more complicated than ...
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On the Estimation of Parameters and Best Model Fits of Log Linear Model for Contingency Table
... to model the observed cell count where the log of expected cell count is proportional to linear combination involving number of model parame- ...(restricted model). It is a specia- lized case of ...
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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 ...
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Distressed Assets in a Normative Dynamic Model of Kazakhstan Economy
... for estimation of external parameters of the model was ...the parameters by use of high-speed parallel calculations on a ...the model with distressed assets in the banking system and in ...
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chwgmm slides rc 1209 bergen
... Motivation Model Euler Equation Estimation Monte Carlo Estimation Concluding Comments Goal: Estimate Structural parameters in models with discrete and?. continuous choices.[r] ...
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An approach to online identification of Takagi Sugeno fuzzy models
... TS model structure and parameters by combining supervised and unsupervised ...and parameters of the TS model con- tinually evolve by adding new rules with more summarization power and by ...
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Statistical treatment of looking time data
... parametric statistical analyses, such as analysis of variance (ANOVA), t test and regression analysis, which require normally distributed data, especially with small sample sizes (8 to 32 participants) ...
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Evaluation of Cuckoo Search Usage for Model Parameters Estimation
... nonlinear parameters that does not have an exact solution, al- though iterative procedures like Taylor series, steepest descent and Levenberg-Marquardt methods could be applied to solve the prob- lem, these ...
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Estimation of Parameters for Model Matching using Genetic Algorithms
... of parameters of an induction motor using Genetic Algorithms is developed in ...the parameters of a warranty cost model for a Malaysian automotive ...electrical parameters of photo- voltaic ...
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Bayesian statistical calibration of variety parameters in a sugarcane crop model
... Variety parameters for APSIM‐Sugar defined in Table ...single parameters such as thermal time required between emergence and beginning of stalk growth (tt_emerg_to_begcane) or senescence induced by ageing ...
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Zero-inflated, hurdle and bivariate parameter-driven count models
... to model dependence in bivariate time series of ...first model employs one latent process through the cross-correlation parameter of the bivariate Poisson distribution, thus leading to common temporal ...
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An evolutionary firefly algorithm for the estimation of nonlinear biological model parameters
... of parameters that represent the physical properties of the system, such as biochemical reaction ...these parameters is often difficult and in some cases impossible ...[2]. Parameters are usually ...
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Instrumental Estimation of E-Model Parameters for Wideband Speech Codecs
... the model assumes an IRS receive filter according to ITU-T ...the model is usually applied to the electrical part of the network, before the receiving ...
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