Themes and Variations in Gide's L'Immoraliste

1985 ◽  
Vol 3 (2) ◽  
pp. 153-170 ◽  
Author(s):  
Paul Bratley ◽  
Paul A. Fortier

A number of statistical experiments analyze data on the frequency and distribution of words evoking twenty-two different themes in Gide's novel l'Immoraliste. The statistical tests are simple and standard; they can be applied using widely-available program packages. The results are evaluated in terms of traditional literary analysis of the novel. Correlations of the distributions of the themes could not be interpreted easily when presented in table form. However, multidimensional scaling and cluster analysis of the correlations not only produced results parallel to the literary analysis but suggested how it could be refined. Regression analysis did not generate conclusive results. The methods used are evaluated and suggestions for future explorations are made.

2021 ◽  
Vol 13 (29) ◽  
pp. 65-76
Author(s):  
Stefan Vulchinkov ◽  
◽  
L. Reseleshka ◽  
Penka Vulchinkova ◽  
Mima Ilchovska ◽  
...  

A many-sided evaluation of grain yield stability of 22 maize hybrids from the early group (FAO 300-400), tested in 4 locations was done. Different methods and models were applied: variation and regression analysis; AMMI and cluster analysis as well. A modified method for grouping of hybrids by mean yield and mean values of the regression coefficient bi was proposed. A good accordance between that method and AMMI-1 analysis was observed. The cluster analysis also confirms this consent. Calculated theoretical yields by locations create conditions for more precise zoning of hybrids according to environments.


Organizacija ◽  
2012 ◽  
Vol 45 (6) ◽  
Author(s):  
Miro Simonič ◽  
Ksenija Dumičić ◽  
Gabrijel Devetak

AbstractIn this paper, based on the analysis of official FAOSTAT and EUROSTAT data on poultry meat for 38 European countries for years 2007 and 2009, two hypotheses were examined. Firstly, considering four clustering variables on poultry meat, i.e. production, export and import in kg/capita, as well as the producer price in US $/t, using descriptive exploratory and cluster analysis, the hypothesis that the clusters of countries may be recognized was confirmed. As a result six clusters of similar countries were distinguished. Secondly, based on multiple regression analysis, this paper proofs that there exists the statistically significant relationship of poultry meat production on export and import of that kind of meat, all measured in kg/capita. There is also a high correlation between production, as a dependent, and each of two independent variables.


2013 ◽  
Vol 807-809 ◽  
pp. 641-646 ◽  
Author(s):  
Yu Feng Xie

Taking the China Academic Journal Network Publishing Database as a platform, we constructed a co-word matrix with the high-frequency keywords of ecological/environmental risk related papers published on core journals. We made multidimensional scaling analysis and cluster analysis using SPSS, and discussed the status of ecological risk related research. The results show that the research hotspots can be divided into five aspects, including ecological risk assessment on heavy metals in the bottom mud, ecological risk assessment of toxic organic pollutants, regional landscape ecological risk, environmental safety accidents and risk management, and other types of ecological risk such as transgenic and biological invasion.


2015 ◽  
Vol 22 (4) ◽  
pp. 527-541 ◽  
Author(s):  
Robert Kalbarczyk ◽  
Eliza Kalbarczyk ◽  
Irena Niedźwiecka-Filipiak ◽  
Liliana Serafin

Abstract This study analyzed the temporal variation of tropospheric ozone (O3) in Poznan (midwestern Poland) on the basis of data collected from a State Environmental Monitoring air quality assessment station. The aim was to investigate the distribution and variation of O3 levels and to assess the relationship with nitrogen oxides (NOx) and meteorological conditions. These relationships were assessed by multiple regression analysis and cluster analysis. The O3 levels showed a high annual, seasonal and daily volatility, and were significantly influenced by meteorological conditions and NOx levels. High O3 levels were accompanied by above-average levels of radiation (Rad), air temperature (Ta) and wind speed (Ws), together with below-average values of NOx and humidity (Rh). Atmospheric pressure (Ph) had an ambiguous effect on O3 levels.


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