Hasil untuk "physics.data-an"

Luca Lista

Dina Genkina

Anonymous

Matteo Rini

Carlos Mana

Notes for a Course on Probability and Statistics: L1: Elements of Probability; L2: Bayesian Inference; L3: Monte Carlo Methods

K. Rezynkina, A. Lopez-Martens, K. Hauschild

We propose a novel graphical method for determining the mixing ratios δ and their associated uncertainties for mixed nuclear transitions. It incorporates the uncertainties both on both the measured and the theoretical conversion coefficients. The accuracy of the method has been studied by deriving the corresponding probability density function. The domains of applicability of the method are carefully defined.

Don S. Lemons

Iafrate, Miller, and Strauch [Equipartition and a Distribution for Numbers: A Statistical Model for Benford's Law," arXiv:1503.08259] construct and test a statistical model for partitioning a conserved quantity. One consequence of their model is Benford's law. This Comment amplifies their work by exploring its thermodynamic consequences.

Nozomi Sugiura

We show that the effective average action and its gradient are useful for solving multiscale data assimilation problems. We also present a procedure for numerically evaluating the gradient of the effective average action, and demonstrate that the variational problem for slow degrees of freedom can be solved properly using the "effective gradient."

Kapure Nl, Nayak Bb, Raul Ar et al.

S. KarunyaChristobalLydia., A. ShanmugaSundari, An

Chongho Lee, Myungsook An, Yonghwi Noh

Jingxin Zhang, J. Murtie, O. Iartchouk et al.

Lou An-ting

An Guan-feng, C. Harbour

Wang Qin-an

Lintao Han, Ming-ming Li, Fang Huang et al.

Wenying Chai, Zifa Shi, P. An et al.

Tan An-sheng

Anbang Zhao, Cheng He, Bin Zhou et al.