• No results found

best fit model parameters

Intention tremor and deficits of sensory feedback control in multiple sclerosis: a pilot study

Intention tremor and deficits of sensory feedback control in multiple sclerosis: a pilot study

... For completeness, model and FRF phases for each sub- ject were compared post-hoc using the best-fit model parameters to the FRF magnitude. Due to the noise in FRF phase estimates at ...

19

Rybak, Matus
  

(2017):


	Strong lensing with ALMA: resolving the nature of high-redshift galaxies.


Dissertation, LMU München: Fakultät für Physik

Rybak, Matus (2017): Strong lensing with ALMA: resolving the nature of high-redshift galaxies. Dissertation, LMU München: Fakultät für Physik

... mass model, the reconstructed source surface brightness distri- bution is strongly dependent on the observational setup (Figure ...we fit each source with an elliptical Gaussian profile; the ...

127

A two-phase substrate model for enzymatic hydrolysis of lignocellulose: application to batch and continuous reactors

A two-phase substrate model for enzymatic hydrolysis of lignocellulose: application to batch and continuous reactors

... the model to a continuous reactor system. Results: A phenomenological model was developed in order to predict glucose and solids concentrations in batch and continuous enzymatic-hydrolysis reactors from ...

15

Stochastic Analysis of Low Cost Single Frequency GPS Receivers

Stochastic Analysis of Low Cost Single Frequency GPS Receivers

... stochastic model to improve the positioning performance of such ...the best model that fits such ...3 parameters exponential decay function is the best fit ...developed ...

11

Do current cosmological observations rule out all covariant Galileons?

Do current cosmological observations rule out all covariant Galileons?

... one model exceeding 100∶1 , or Δ log 10 B > 2 , to be decisive in favor of the ...3 best fits, we see that the Δ log 10 B decreases drastically in the runs without massive ...worse fit to the data ...

9

Chemical speciation studies of binary complexes of malonic acid with some essential biologically important metal ions in 1, 2 propanediol water mixtures

Chemical speciation studies of binary complexes of malonic acid with some essential biologically important metal ions in 1, 2 propanediol water mixtures

... the model is further evident from the low crystallographic R-value ...statistical parameters show that the best fit models portray the metal–ligand species in PG-water ...

9

Synthesis, Characterization and Optical Constants of Silicon Oxycarbide

Synthesis, Characterization and Optical Constants of Silicon Oxycarbide

... a model for our samples and to extract the optical parameters n and k of the SiOC ...To best fit the data and extract the optical parameters over the entire wavelength range, ...

5

Food Web Simulation Studies on Aquatic Ecosystems

Food Web Simulation Studies on Aquatic Ecosystems

... mation found in [59]. Having some values which are hypothetical and other real we use a scatter search algorithm in order to find the parameters that best fit the model. Finally we performed ...

166

On the Estimation of Parameters and Best Model Fits of Log Linear Model for Contingency Table

On the Estimation of Parameters and Best Model Fits of Log Linear Model for Contingency Table

... estimate model parameters and best model fit of log li- near ...for model whose expected values are not directly obtainable from marginal totals of observed ...for model ...

11

Experimental Determination of the Temperature Suppression in Formation of Gas Hydrate in Water Based Drilling Mud

Experimental Determination of the Temperature Suppression in Formation of Gas Hydrate in Water Based Drilling Mud

... The best-fit parameters of Equations 1 ...Young’s model) are tabulated in Table 6. As can be seen, this model has a good performance in describing temperature suppressions of both ...

15

Dusty tails of evaporating exoplanets. II. Physical modelling of the KIC 12557548b light curve

Dusty tails of evaporating exoplanets. II. Physical modelling of the KIC 12557548b light curve

... our model treats as a “black box”, focussing on the larger- scale structure dust ...The model solutions presented in this work typically consist of several hundred output ...our model, including the ...

18

Multiple-true-false questions reveal more thoroughly the complexity of student thinking than multiple-choice questions: a Bayesian item response model comparison

Multiple-true-false questions reveal more thoroughly the complexity of student thinking than multiple-choice questions: a Bayesian item response model comparison

... instructor to fit a complex Bayesian model for each exam. Thus, we aimed to determine how instructors could estimate the extent to which students had fully achieved the specified learning objectives (i.e., ...

17

Multi-wavelength campaign on NCG 7469. IV. The broad-band X-ray spectrum

Multi-wavelength campaign on NCG 7469. IV. The broad-band X-ray spectrum

... to model the observed emis- sion line at ...the best fit to the data (χ 2 = 1762 for 1665 d.o.f.), and this best fit is plotted in ...

10

Generic Algorithm Implementation of Approximation Algorithm using Simulated Annealing (SA)

Generic Algorithm Implementation of Approximation Algorithm using Simulated Annealing (SA)

... [14] Csirik, J. and D. Johnson, Bounded space on-line bin packing; best is better than first, In Proceedings, Second Annual ACM-SIAM Symposium on Discrete Algorithms, SIAM, Philadelphia, 1991, p. 309-319. [15] ...

8

Design and Optimization of Capecitabine
Proniosomes

Design and Optimization of Capecitabine Proniosomes

... “the best” formulation with minimal expenditure of time, effort and developmental cost vis-a‘-vis the traditional one factor at a time (OFAT) approach 11 ...process parameters using screening and risk ...

6

"Best fit" framework synthesis: refining the method

"Best fit" framework synthesis: refining the method

... “best fit frame- work synthesis” also suggest that it is not necessarily true in all cases to say that qualitative research linked to a spe- cific intervention is of only “limited value” in generating ...

17

BestFit

BestFit

... Best Fit Example.[r] ...

29

Energy-aware VM placement algorithms for the OpenStack Neat consolidation framework

Energy-aware VM placement algorithms for the OpenStack Neat consolidation framework

... the best (line ...The best host is then determined by iteratively replacing allocatedHost with a better host (line ...the best host are added to a vmPlacement map (line ...

14

Charaterisation of polymeric biomacromolecules using linear dichroism and Markov chain Monte Carlo

Charaterisation of polymeric biomacromolecules using linear dichroism and Markov chain Monte Carlo

... The Markov chain Monte Carlo (MCMC) algorithm is popular in many fields. The methods given in chapter 6 describe a practical and general approach for modelling of a number of systems. The MCMC algorithm is flexible, ...

221

Formulation and Evaluation of Sustained Release Microspheres of Venlafaxine Hydrochloride.

Formulation and Evaluation of Sustained Release Microspheres of Venlafaxine Hydrochloride.

... Phalguna Y., et al., (2010) have developed in the present study was made to formulate zidovudine as microparticulate drug delivery system in order to localize drug at the absorption site, enhance its bioavailability, ...

170

Show all 10000 documents...

Related subjects