نتایج جستجو برای: smirnov test

تعداد نتایج: 813401  

1999
Xiangdong Shi George M. Fuller

Xiangdong Shi and George M. Fuller Department of Physics, University of California, San Diego, La Jolla, California 92093-0319 (December 16, 1998) We propose a new and unique dark matter candidate: ∼ 100 eV to ∼ 10 keV sterile neutrinos produced via lepton number-driven resonant MSW (Mikheyev-Smirnov-Wolfenstein) conversion of active neutrinos. The requisite lepton number asymmetries in any of ...

2009
Colm Connaughton Alan C. Newell

We present a systematic study of the dynamical scaling process leading to the establishment of the Kolmogorov–Zakharov (KZ) spectrum in weak 3-wave turbulence. In the finite capacity case, in which the transient spectrum reaches infinite frequency in finite time, the dynamical scaling exponent is anomalous in the sense that it cannot be determined from dimensional considerations. As a consequen...

Journal: :Physical review. D, Particles and fields 1993
Hata Langacker

We consider the Earth effect in the MSW analysis of the Homestake, Kamiokande, GALLEX, and SAGE solar neutrino experiments. Using the time-averaged data and assuming two-flavor oscillations, the large-angle region of the combined fit extends to much smaller angles (to sin 2θ ≃ 0.1) than when the Earth effect is ignored. However, the additional constraint from the Kamiokande II day-night data ex...

2008
T Wickramasinghe

The OGLE data for Einstein ring crossing times, tE, for microlensing events toward the galactic bulge are analyzed. The analysis shows that the crossing times are bimodal, indicating that two populations of lenses could be responsible for observed microlensing events. Given the possibility that microlensing in this direction can be due to both main-sequence stars and white dwarfs, we analyze an...

2005
A. Ianni

Abstract In low count-rate experiments Gaussian statistics is often not appropriate. An example of likelihood analysis applied to determine the Kr activity using data from a low background liquid scintillator is presented. Uncertainties and upper limits calculation is shown together with a goodness-of-fit based on Monte Carlo and on the Smirnov-Cramer-Von Mises test. The likelihood ratio method...

2010
Abdelhamid Benhocine Lamri Laouamer Anca Christine Pascu

The authors present a new approach for measuring watermarking robustness in the case of color attacks of rgb-color watermarked images. This approach is applied to evaluate the robustness of our algorithm to watermark an rgb-color image by modifying pixels colors. It is based on Kolmogorov-Smirnov test and it uses fractal dimensions to quantify modified color pixels. The authors test smooth and ...

Journal: :Physical review. D, Particles and fields 1994
Joshipura Krastev

Large mixing induced νμ ↔ νe transitions can explain the deficit in the flux of the low energy atmospheric νμ whereas the solar neutrino deficit can be simultaneously explained through MSW transitions νe → ντ . A combined analysis of both these effects is presented. The large νe − νμ mixing affects the MSW transition between νe and ντ significantly. As a consequence, a large region of parameter...

2005
M. Castellani V. Castellani S. Cassisi

RR Lyrae variables in Galactic globular clusters V. The case of M3 pulsators. Abstract. We use our synthetic Horizontal Branch (HB) procedure to approach the debated problem concerning the adequacy of canonical HB stellar models to account for the observed peaked distribution of RR Lyrae fundamentalised periods in the globular cluster M3. We find that by assuming a suitable bimodal mass distrib...

1997
Li-Shan Huang

A test for the one-sample goodness-of-t problem is proposed. The test is based on a distance that measures the diierence, in terms of roughness, between the underlying density function and the hypothesized density function. One advantage of using a roughness measure is high power in detecting high-frequency alternatives and densities with sharp features. The test statistic that estimates the di...

2007
DIANE L. EVANS JOHN H. DREW LAWRENCE M. LEEMIS

This article presents a derivation of the distribution of the Kolmogorov–Smirnov, Cramer–von Mises, and Anderson–Darling test statistics in the case of exponential sampling when the parameters are unknown and estimated from sample data for small sample sizes via maximum likelihood.

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