scholarly journals Ozone Concentration at Ground Level Depending on the Content of NOx and Meteorological Conditions

2015 ◽  
Vol 22 (4) ◽  
pp. 527-541 ◽  
Author(s):  
Robert Kalbarczyk ◽  
Eliza Kalbarczyk ◽  
Irena Niedźwiecka-Filipiak ◽  
Liliana Serafin
Keyword(s):  
Cluster Analysis ◽  
Regression Analysis ◽  
Atmospheric Pressure ◽  
Tropospheric Ozone ◽  
Ground Level ◽  
Meteorological Conditions ◽  
Air Quality Assessment ◽  
Ambiguous Effect ◽  
And Cluster Analysis ◽  
The Relationship

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.

The relation between personality and prejudice: a variable‐ and a person‐centred approach

2003 ◽  
Vol 17 (6) ◽  
pp. 449-464 ◽  
Author(s):  
Bo Ekehammar ◽  
Nazar Akrami
Keyword(s):  
Cluster Analysis ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Multiple Regression Analysis ◽  
Big Five ◽  
Racial Prejudice ◽  
Personality Types ◽  
Personality Factors ◽  
Big Five Personality ◽  
The Relationship

The relationship between Big Five personality (measured by the NEO‐PI) and prejudice was examined using a variable‐ and a person‐centred approach. Big Five scores were related to a generalized prejudice factor based on seven different prejudice scales (racial prejudice, sexism, etc). A correlation analysis disclosed that Openness to Experience and Agreeableness were significantly related to prejudice, and a multiple regression analysis showed that a variable‐centred approach displayed a substantial cross‐validated relationship between the five personality factors and prejudice. A cluster analysis of the Big Five profiles yielded, in line with previous research, three personality types, but this person‐centred approach showed a low cross‐validated relationship between personality and prejudice, where the overcontrolled type showed the highest prejudice and the undercontrolled the lowest, with the resilient falling in between. A head‐to‐head comparison sustained the conclusion that, based on people's Big Five personalities, their generalized prejudice could be predicted more accurately by the variable‐ than the person‐centred approach. Copyright © 2003 John Wiley & Sons, Ltd.

scholarly journals Stability assessment of maize hybrids by different methods in relation to their zoning

2021 ◽  
Vol 13 (29) ◽  
pp. 65-76
Author(s):  
Stefan Vulchinkov ◽  
◽  
L. Reseleshka ◽  
Penka Vulchinkova ◽  
Mima Ilchovska ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Regression Analysis ◽  
Regression Coefficient ◽  
Stability Assessment ◽  
Early Group ◽  
Mean Values ◽  
Maize Hybrids ◽  
Modified Method ◽  
Good Accordance ◽  
And Cluster Analysis

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.

scholarly journals Morphometrics of the tribe Merremieae Austin (Convolvulacae) from India

2014 ◽  
Vol 21 (2) ◽  
pp. 121-128
Author(s):  
S. A. Deshmukh ◽  
Vinod B. Shimpale
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Vital Role ◽  
Leaf Length ◽  
Petiole Length ◽  
Quantitative Characters ◽  
Plant Taxon ◽  
And Cluster Analysis ◽  
The Relationship

Sixteen species of the tribe Merremieae Austin (Convolvulaceae) from India were morphometrically analyzed with the help of Principal component analysis (PCA) and cluster analysis to explain the relationship between them. PCA showed that quantitative characters like corolla breadth, fruit breadth and length of paracot leaf play important role in bringing together all the species in the same tribe while the characters like leaf length, leaf breadth, petiole length, pedicel length, calyx length and calyx breadth play vital role in the delimitation of taxa within the tribe Merremieae. Cluster analysis and dendrogram revealed that, the genus Operculina S. Manso is segregated from Merremia Denns. ex Endlich.; genus Hewittia Wight. & Arn. is very close to Merremia, probably originated from M. aegyptia (L.) Urban and M. dissecta (Jacq.) Hall. f. cluster and genus Xenostegia Austin & Staples is isolated in the separate cluster.DOI: http://dx.doi.org/10.3329/bjpt.v21i2.21350Bangladesh J. Plant Taxon. 21(2): 121-128, 2014 (December)

Institutional Arrangements in Public Utilities and Public Management

2018 ◽  
pp. 84-99
Author(s):  
Anna V. Ermishina
Keyword(s):  
Cluster Analysis ◽  
Water Supply ◽  
Empirical Data ◽  
Public Management ◽  
Institutional Arrangements ◽  
Water Utilities ◽  
Public Utilities ◽  
Increase Productivity ◽  
And Cluster Analysis ◽  
The Relationship

Since the early 2000s a policy of attracting private operators to public utilities, which should help to increase productivity, reduce costs, and as a result, reduce utility prices, has taken place in Russia. The aim of the chapter is to identify the relationship between institutional arrangements and efficiency of water and sewer services. Statistical and cluster analysis was applied to empirical data on water utilities in the 13 largest cities in Russia. There were the differences in the level and dynamics of prices and other indicators for water supply and sewer services in the group of public utilities and public-private water utilities.

Themes and Variations in Gide's L'Immoraliste

1985 ◽  
Vol 3 (2) ◽  
pp. 153-170 ◽  
Author(s):  
Paul Bratley ◽  
Paul A. Fortier
Keyword(s):  
Cluster Analysis ◽  
Regression Analysis ◽  
Multidimensional Scaling ◽  
Statistical Tests ◽  
Literary Analysis ◽  
The Novel ◽  
Statistical Experiments ◽  
And Cluster Analysis ◽  
Analyze Data

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.

Removal of meteorological effects from meson-telescope data

1969 ◽  
Vol 47 (14) ◽  
pp. 1429-1433 ◽  
Author(s):  
R. M. Briggs ◽  
R. B. Hicks ◽  
S. Standil
Keyword(s):  
Regression Analysis ◽  
Least Squares ◽  
Neutron Monitor ◽  
Ground Level ◽  
Barometric Pressure ◽  
Practical Method ◽  
Meteorological Conditions ◽  
Hourly Data ◽  
Meteorological Effects

Hourly data from a meson mega-telescope have been correlated with the local barometric pressure, the ground-level temperature, and with intensity variations as observed by a distant neutron monitor. Two techniques are considered, viz. a vector least-squares analysis and an hourly regression analysis, the latter being suggested as a practical method whereby stations without radiosonde information may correct their hourly meson data for changing meteorological conditions.

Variability in Daily Events and Mood of Family Caregivers to Cognitively Impaired Elders

1995 ◽  
Vol 41 (2) ◽  
pp. 151-167 ◽  
Author(s):  
Eileen E. Malonebeach ◽  
Steven H. Zarit ◽  
Dena Farbman
Keyword(s):  
Cluster Analysis ◽  
Individual Differences ◽  
Family Caregivers ◽  
Cognitively Impaired ◽  
Daily Events ◽  
And Cluster Analysis ◽  
Relationship Of ◽  
The Relationship

This study explores the relationship of daily mood and daily events in a caregiving context. Family caregivers to demented elders ( N = 43) kept fourteen-day diaries of: 1) caregiving activities, 2) disruptive patient behaviors, and 3) daily mood. Independent raters and cluster analysis support the hypothesis of three mood patterns. Differences among the three clusters in the relationship of mood and daily caregiving events were explored. The findings indicate that some caregivers are highly distressed by caregiving demands, some report moderate levels of distress, and others show no relationship between mood and daily events. The varied patterns support an individual differences approach to understanding caregiving and in the design of interventions.

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