Nowadays, systematic collection of data has necessitated a detailed statistical analysis as a necessary tool to make a mathematical characterization of them with the purpose of gathering information about the present or the future. Our aim in this paper is to analyze a landline phone call network graph from the perspective of descriptive analysis. We explore the characteristics and structural properties of the network graph constructed using an anonymous collection of data gathered from a Call Data Records of a telecommunication operator center located in south of Albania. The R statistical computing platform is used for network graph analysis.
This study focuses on the family, enabling data collection and processing to come to the conclusion that it spends on average a month in a family in the city of Vlora. The data was collected in written and electronic form with a form that was drafted following the study of many models performed in economically developed countries. Contribution was given by more than 100 families involved in the survey. This paper aims to look at the essence of decision-making by applying the mathematical methods that approximate the average cost per capita for the city of Vlora and are equal to 1 328 lek, the understanding of the basic concepts of these managerial and conceptual disciplines and to increase the level of application of these methods and principles among stakeholders in decision-making in all levels of politics, economy, society, etc.
Abstract. Here we consider the observed changes in the consumer expenses in a district of Albania following market sales discount. By calculating latent variable as the usefulness of the discounts offered we interpret the net expenses surplus as related to the actual marketing activities. Here we use a reduced set of variables related to the house holding as gender and age of principal buyers, and some few marketing aspects as telephone calls, whereas as response variable we choose the average days of market visits and expenses. In the area we investigated we obtained that the offered discounts promote rising expenses which in turn tells that the consumer behave as minimalist buyer as a responses of higher prices and not limited budged. This supports the idea that the consumers in this area are mostly rational. Next we see that the most accented effect is related to the average costume expenses that suggest the marketing activity related to this category of consumers.
Is a temporal landline phone call network graph series led by the presence of small world phenomenon? Are order and average vertex degree of the network graphs associated to small -worldness? How are related size and order of the network graphs in this temporal series? A continuously graded notion of small -world -ness is used to study the presence of small world phenomenon. Spearman's and Kendall's correlation coefficients are used to perform a non -parametric correlation analysis between small -world -ness and order/average vertex degree. Linear regression on log -transformed quantities is used to analyse the relationship between size and order. It is achieved by the study that, the presence of smallworld -ness is confirmed in each time step of the series, and there is no significant association between small -world -ness and graph order/average vertex degree. A significant positive power relationship between size and order is found.
The purpose of this paper is to test whether the Albanian exchange rate market is weak form efficient by studying the statistical behavior of daily Euro and USD exchange rate against Albanian Lekё, which are the most influential currency in Albania market, during the period January 05, 2010 -April 30, 2015. The study seeks to examine whether this currencies follow each a martingale. The unit root tests (individually and panel) and variation ratio test are used. The various analytical tests implemented in the study provide evidence of non-martingale property of exchange market in Albania.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.