نتایج جستجو برای: gaussian distribution

تعداد نتایج: 669913  

Journal: :CoRR 2016
Laszlo Gyongyosi

We define an iterative error-minimizing secret key adapting method for multicarrier CVQKD. A multicarrier CVQKD protocol uses Gaussian subcarrier quantum continuous variables (CVs) for the transmission. The proposed method allows for the parties to reach a given target secret key rate with minimized error rate through the Gaussian subchannels by a sub-channel adaption procedure. The adaption al...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان فارس - دانشکده علوم پایه 1390

مدل سازی و تحلیل داده های بقا از جنبه های مهم علم آمار بشمار می رود که دارای کاربردهای وسیع و گسترده در بسیاری از علوم مختلف می باشد. توزیع گاوسی معکوس تعمیم یافته از جمله توزیع هایی است که در تحلیل داده های بقا مورد استفاده قرار می گیرد. در این پایان نامه توزیع جدیدی را که تعمیمی از چند مدل موجود در تحلیل داده های بقا می باشد را معرفی کرده و نشان می دهیم که این توزیع جدید دارای ویژگی های مطلوب...

Journal: :journal of industrial engineering, international 2005
s.s hashemin s.m.t fatemi ghomi

this paper proposes a hybrid method to find cumulative distribution function (cdf) of completion time of gert-type networks (gtn) which have no loop and have only exclusive-or nodes. proposed method is cre-ated by combining an analytical transformation with gaussian quadrature formula. also the combined crude monte carlo simulation and combined conditional monte carlo simulation are developed a...

Journal: :Physical review. E, Statistical, nonlinear, and soft matter physics 2012
Nobuyoshi Komatsu Takahiro Kiwata Shigeo Kimura

By means of N-body simulations, we study the evolution of gravity-dominated systems from an early relaxation to a collapse, focusing on the velocity distributions and thermodynamic properties. To simulate the dynamical evolution, we consider self-gravitating small N-body systems enclosed in a spherical container with adiabatic or semipermeable walls. It is demonstrated that in the early relaxat...

1995
E. Brézin A. Zee

We study a new class of matrix models, formulated on a lattice. On each site are N states with random energies governed by a Gaussian random matrix Hamiltonian. The states on different sites are coupled randomly. We calculate the density of and correlation between the eigenvalues of the total Hamiltonian in the large N limit. We find that this correlation exhibits the same type of universal beh...

2015
Robin K. S. Hankin

Here I introduce package cmvnorm, a complex generalization of the mvtnorm package. A complex generalization of the Gaussian process is suggested and numerical results presented using the package. An application in the context of approximating the Weierstrass σ-function using a complex Gaussian process is given.

2011
Aleksandr Aravkin James V. Burke Gianluigi Pillonetto

We propose two nonlinear Kalman smoothers that rely on Student’s t distributions. The T-Robust smoother finds the maximum a posteriori likelihood (MAP) solution for Gaussian process noise and Student’s t observation noise, and is extremely robust against outliers, outperforming the recently proposed `1-Laplace smoother in extreme situations (e.g. 50% or more outliers). The second estimator, whi...

2008
J. Greenhough

Frequency-magnitude distributions, and their associated uncertainties, are of key importance in statistical seismology. When fitting these distributions , the assumption of Gaussian residuals is invalid since event numbers are both discrete and of unequal variance. In general, the observed number in any given magnitude range is described by a binomial distribution which, given a large total num...

2010
Matthew Urry Peter Sollich

We study learning curves for Gaussian process regression which characterise performance in terms of the Bayes error averaged over datasets of a given size. Whilst learning curves are in general very difficult to calculate we show that for discrete input domains, where similarity between input points is characterised in terms of a graph, accurate predictions can be obtained. These should in fact...

The range distributions of low-energy nitrogen and oxygen (2-3 keV) ions is silicon are measured and compared with these available in theories. The nitrogen distribution is very close to a Gaussian distribution as predicted by theory. The oxygen profile however, indicates a surface localized peak along with a shoulder and a long tail into the sample. The surface peak is beleived to he the resul...

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