998 resultados para Universitätsbibliothek


Relevância:

10.00% 10.00%

Publicador:

Resumo:

feature extraction, feature tracking, vector field visualization

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Thermal energy requirement, stirred tank reactor, chamber dryer

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Expert System, Inference Engine, Protection Coordination, Protection Device

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Sheet metal blank, hydro-impulsive forming, explosive forming, gas detonation forming

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Externalities, fiscal competition, partial coordination, wage formation

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Factory planning, Factory modeling, Semantic Knowledge Representation, Digital Factory Planning, Digital Factory

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Campylobacter jejuni, CadF, actin cytoskeleton, GTPases, signaling

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Manufacturing system, layout planning, facilities location problem, information, communication

Relevância:

10.00% 10.00%

Publicador:

Resumo:

LHON, cybrids, ROS, ATP, glutathione, oxidative stress, SOD, GPx1, glutathione peroxidase

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Protease-activated receptor, interleukin, thrombin, trypsin, asthma

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Speaker Recognition, Speaker Verification, Sparse Kernel Logistic Regression, Support Vector Machine

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Vision, Speed, Electroencephalogram, Gamma Band Activity

Relevância:

10.00% 10.00%

Publicador:

Resumo:

The classical central limit theorem states the uniform convergence of the distribution functions of the standardized sums of independent and identically distributed square integrable real-valued random variables to the standard normal distribution function. While first versions of the central limit theorem are already due to Moivre (1730) and Laplace (1812), a systematic study of this topic started at the beginning of the last century with the fundamental work of Lyapunov (1900, 1901). Meanwhile, extensions of the central limit theorem are available for a multitude of settings. This includes, e.g., Banach space valued random variables as well as substantial relaxations of the assumptions of independence and identical distributions. Furthermore, explicit error bounds are established and asymptotic expansions are employed to obtain better approximations. Classical error estimates like the famous bound of Berry and Esseen are stated in terms of absolute moments of the random summands and therefore do not reflect a potential closeness of the distributions of the single random summands to a normal distribution. Non-classical approaches take this issue into account by providing error estimates based on, e.g., pseudomoments. The latter field of investigation was initiated by work of Zolotarev in the 1960's and is still in its infancy compared to the development of the classical theory. For example, non-classical error bounds for asymptotic expansions seem not to be available up to now ...

Relevância:

10.00% 10.00%

Publicador:

Resumo:

PEEC, computational electromagnetics