Comparative study of species sensitivity distributions based on non-parametric kernel density estimation for some transition metals

2017 ◽  
Vol 221 ◽  
pp. 343-350 ◽  
Author(s):  
Ying Wang ◽  
Chenglian Feng ◽  
Yuedan Liu ◽  
Yujie Zhao ◽  
Huixian Li ◽  
...  
Keyword(s):  
Transition Metals ◽  
Comparative Study ◽  
Density Estimation ◽  
Kernel Density Estimation ◽  
Kernel Density ◽  
Species Sensitivity ◽  
Non Parametric ◽  
Species Sensitivity Distributions

Kernel density estimation in regional convergence studies

2016 ◽  
Vol 61 (10) ◽  
pp. 7-21
Author(s):  
Piotr Wójcik
Keyword(s):  
Density Estimation ◽  
Kernel Density Estimation ◽  
Estimation Method ◽  
Kernel Density ◽  
Regional Convergence ◽  
Lower Secondary School ◽  
Convergence Hypothesis ◽  
Educational Achievements ◽  
Science Part ◽  
Non Parametric

The aim of the article is to present a non-parametric kernel density estimation method as a tool used for empirical verification of the regional convergence hypothesis, including convergence of clubs. It is explained how kernel density estimation complements other methods applied to verify the phenomenon of convergence. The empirical part shows an application of the non-parametric density estimation to the analysis of regional convergence of educational achievements of Polish pupils, measured by the average results of the mathematical and natural science part of the lower-secondary school leaving exams on the level of municipalities in years 2002—2013. The results of the analysis indicate the existence of regional convergence of exam results for Polish municipalities. In case of the analysis for three-yearly periods convergence of clubs was observed — the municipalities with lowest exam results constitute a separate club of convergence.

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