Estimating the Noise Level Function with the Tree of Shapes and Non-parametric Statistics

Author(s):  
Baptiste Esteban ◽  
Guillaume Tochon ◽  
Thierry Géraud
2015 ◽  
Vol 24 (5) ◽  
pp. 1561-1572 ◽  
Author(s):  
Jingyu Yang ◽  
Ziqiao Gan ◽  
Zhaoyang Wu ◽  
Chunping Hou

Author(s):  
Eka Sari ◽  
Ikhfi Imaniah ◽  
Immtihan Hanim

Writing is an activity that not only need physical act but also mental act. Students can put their statements, idea and opinion in composing writing. Moreover, students learn with visually, auditory and kinesthetic. Students with multi learning style usually better in learning and understand lessons, particularly in writing. Due to the statement, this study is aimed to find out the correlation between students’ learning style and their writing skill. This study use survey quantitative method and analyze the data by using statitisctical hypotheses. Based on the data analysis, it was found that student’s learning style was not normally distributed, whereas the data of writing test was normally distributed. Therefore, the researchers used non-parametric statistics to analyze the hypotheses. Kendall Tau calculation was used and obtained that Zcount ((0,35) <  Ztable (1,96) with significant 0,05. Thus, H0 is accepted and Hi is rejected. It means that there is no correlation between students’ learning style and their writing skill. In this case, learning style were not dominat factors affected writing skill.


2014 ◽  
Vol 60 (3-4) ◽  
pp. 327-338
Author(s):  
Stefan Michalik

Highly significant dependences were found between the distribution of plant communities and the relative insolation on a small rocky ridge with relief and microclimatic conditions varying to a very great degree. The dependences are presented in graphical and numerical forms, and their significance is tested using non-parametric statistics.


2017 ◽  
pp. 145-181 ◽  
Author(s):  
Xizhi Wu ◽  
Zhi Geng ◽  
Qiang Zhao

Biometrics ◽  
1981 ◽  
Vol 37 (3) ◽  
pp. 621
Author(s):  
B. M. Brown ◽  
W. J. Conover

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