Statistical Errors In The Literature

Keyword(s):  
2008 ◽  
Vol 103 (2) ◽  
pp. 262-266 ◽  
Author(s):  
Alan R. Zinsmeister ◽  
Jason T. Connor
Keyword(s):  

2013 ◽  
Vol 9 (S298) ◽  
pp. 404-404
Author(s):  
Cuihua Du ◽  
Yunpeng Jia ◽  
Xiyan Peng

AbstractBased on the South Galactic Cap U-band Sky Survey (SCUSS) and SDSS observation, we adopted the star-count method to analyze the stellar distribution in different directions of the Galaxy. We find that these model parameters may be variable with observed direction, which cannot simply be attributed to statistical errors.


1994 ◽  
Vol 05 (02) ◽  
pp. 275-277
Author(s):  
T D Kieu ◽  
C J Griffin

To tackle the sign problem in the simulations of systems having indefinite or complex-valued measures, we propose a new approach which yields statistical errors smaller than the crude Monte Carlo using absolute values of the original measures. The 1D complex-coupling Ising model is employed as an illustration.


1961 ◽  
Vol 14 (1) ◽  
pp. 174 ◽  
Author(s):  
HH Thies

This paper investigates how mathematical approximations and statistical errors are transmitted into computed cross sections in the analysis of experimental bremsstrahlung yield data. The resolution of bremsstrahlung experiments is defined in analogy with optical resolution and an expression for the practical evaluation of resolution is derived. Methods of cross-section computation, and smoothing and curve-fitting are discussed.


2017 ◽  
Vol 600 ◽  
pp. A41 ◽  
Author(s):  
G. Valle ◽  
M. Dell’Omodarme ◽  
P. G. Prada Moroni ◽  
S. Degl’Innocenti

BMJ ◽  
2004 ◽  
Vol 329 (7463) ◽  
pp. 462.1
Author(s):  
Tim J Cole ◽  
Douglas Altman ◽  
Deborah Ashby ◽  
Mike Campbell ◽  
Jonathan Deeks ◽  
...  
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