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  • Author: Katarzyna Wawrzyniak x
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Microscale Evaluation of The Diagnosis Stability

Abstract

In the paper the author makes a classification of the Construction Sector companies that are listed on the Warsaw Stock Exchange. The classification is made with a view to identify those companies whose financial standing in the years of study (2007, 2009 and 2011) was good or bad from the point of view of several selected ratios. The classification is based on the inquiry into the stability of final diagnoses of the companies’ financial standing. The final diagnoses were founded on the median from partial diagnoses which had been created in the course of a two-element diagnostic process where the real values of the companies’ financial indices were compared with theoretical and empirical norms.

Open access
Models With Varying Parameters as A Tool to Classify Polish Voivodships in 2002-2008

Models With Varying Parameters as A Tool to Classify Polish Voivodships in 2002-2008

One of the often used measures of economic development is gross domestic product per capita. In Poland the Main Statistical Office collects the data on this variable on several levels of aggregation. The paper shows the application of panel data models in order to classify Polish voivodships according to the level of economic development. As explained variable the regional GDP per capita was used and such variables as structure of employees, unemployment rate or retail sales per capita were the explaining variables. As a result the groups of voivodships with similar pattern of economic development were distinguished.

Open access
Application of Factor Analysis in Behavioral Segmentation on the Base of Semiometric Scale

Application of Factor Analysis in Behavioral Segmentation on the Base of Semiometric Scale

The main aim of the paper is to present the methodological basis of market segmentation which uses not only demographic-social attributes and preferences but also variables defining values with important meaning in personal life of customers. The construction of a psychometric test is discussed on the basis of the example of a semiometric scale. This test uses principal components analysis in order to distinguish the main dimensions of cultural dichotomies. The example of measurement on the semiometric scale comes from the examination of preferences in the range of the life and medical insurances.

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Population differences in morphological and anatomical traits of Pinus mugo Turra needles from the Polish part of the Tatra Mountains

Abstract

The main aim of this study was to describe the variation between the populations of the dwarf mountain pine Pinus mugo Turra based on the morphological and anatomical traits of their needles, and to investigate the relationship between the observed variation and environmental conditions (altitude and substrate). Two-year-old needles were collected from 180 individuals of six populations of P. mugo growing in the Tatra Mts. Two populations were classified as dense, located at 1360–1450 m altitude, and the remaining four formed loose clusters and were situated at 1500–1650 m altitude. Four of the populations are growing on granite and two on a limestone substrate. The natural variation of 10 morpho-anatomical and 3 synthetic needle traits was measured. In addition to descriptive statistics, the analyses of variance (ANOVA) with a Tukey test and principal component analysis were computed. We also estimated Pearson correlation coefficients for the examined needle traits and altitude as well as substrate. Our results indicate that the P. mugo populations differ significantly with regard to the investigated traits for which the Trzydniowiański Wierch population was the most distinct. The observed pattern of variability is largely caused by differences in stomatal traits and these features are positive correlated with altitude. Additionally, populations growing on granite have larger values for most of the examined traits compared to populations growing on limestone.

Open access