نتایج جستجو برای: smirnov test k

تعداد نتایج: 1168146  

Journal: :Physical review. E, Statistical, nonlinear, and soft matter physics 2010
Pankaj Kumar Mishra Mahendra K Verma

We compute the spectra and fluxes of the velocity and temperature fields in Rayleigh-Bénard convection in turbulent regime for a wide range of Prandtl numbers using pseudospectral simulations on 512(3) grids. Our spectral and flux results support the Kolmogorov-Obukhov (KO) scaling for zero Prandtl number and low Prandtl number (P=0.02) convection. The KO scaling for the velocity field in zero-...

Journal: :رشد و یادگیری حرکتی - ورزشی 0
رسول حمایت طلب استادیار دانشگاه تهران علی مرادی کارشناس ارشد دانشگاه شمال محمدرضا برومند عضو هیأت علمی دانشگاه شمال رقیه فخرپور عضو هیأت علمی دانشگاه تربیت معلم آذربایجان

the purpose of this research was to compare block, random and randomized block training on the acquisition, retention and transfer of volleyball serves. for this purpose, 34 students of shomal university were selected randomly and after primary rules of volleyball were explained and instructed and pretest was performed, they were divided into 3 groups (block, random and randomized block trainin...

Journal: :Physical review. D, Particles and fields 1994
Hata Langacker

Various theoretical uncertainties in the standard solar model and in the Mikheyev-Smirnov-Wolfenstein (MSW) analysis are discussed. It is shown that two methods of estimating the solar neutrino flux uncertainties are equivalent: (a) a simple parametrization of the uncertainties using the core temperature and the nuclear production cross sections; (b) the Monte Carlo method of Bahcall and Ulrich...

2003
A. Yu. Smirnov

The MSW (Mikheyev-Smirnov-Wolfenstein) effect is the effect of transformation of one neutrino species (flavor) into another one in a medium with varying density. Three basic elements of the effect include: the refraction of neutrinos in matter, the resonance (level crossing) and the adiabaticity. The key notion is the neutrino eigenstates in matter. Physical picture of the effect is described i...

2001
L. Zhang

Based on the γ-ray data of blazars in the third EGRET catalog and radio data at 5 GHz, we studied the correlation between the radio and γ-ray luminosities using two statistical methods. The first method was the partial correlation analysis method, which indicates that there exist correlations between the radio and γ-ray luminosities in both high and low states as well as in the average case. Th...

2013
Cattram D Nguyen John B Carlin Katherine J Lee

BACKGROUND Multiple imputation (MI) is becoming increasingly popular as a strategy for handling missing data, but there is a scarcity of tools for checking the adequacy of imputation models. The Kolmogorov-Smirnov (KS) test has been identified as a potential diagnostic method for assessing whether the distribution of imputed data deviates substantially from that of the observed data. The aim of...

Journal: :The Electronic Journal of Combinatorics 2019

2011
Yu-Chin Hsu

We construct a Kolmogorov-Smirnov test for the null hypothesis that the average treatment effect is non-negative conditional on all possible values of the covariates. The null hypothesis of our interest can be characterized as a conditional moment inequality under the unconfoundedness assumption, and we employ the instrumental variable method to convert the conditional moment inequality into un...

2015
Nor Azlan Othman Paul D Docherty Jeremy D Krebs Damon A Bell J Geoffrey Chase

BACKGROUND The model-based dynamic insulin sensitivity and secretion test (DISST) uses fasting glucose (G 0 ) as the basal glucose (G B ) concentration when assessing insulin sensitivity (SI). However, this model was developed in a healthy, normoglycaemic cohort. We sought to determine the suitability the DISST model has for individuals with established type 2 diabetes (T2D). METHODS 14 parti...

Journal: :Bioinformatics 2005
J. S. Yu S. Ongarello R. Fiedler X. W. Chen Gianna Toffolo Claudio Cobelli Zlatko Trajanoski

MOTIVATION High-throughput and high-resolution mass spectrometry instruments are increasingly used for disease classification and therapeutic guidance. However, the analysis of immense amount of data poses considerable challenges. We have therefore developed a novel method for dimensionality reduction and tested on a published ovarian high-resolution SELDI-TOF dataset. RESULTS We have develop...

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