Population growth and economic development

The paper deals with the relationship between the population growth and economic development in Yugoslavia and its republics, covering the period after the Second World War. Yugoslavia is a developing country with a specific demographic and economic structure which makes her unique in Europe. Its territory is comprised of both relatively developed regions where demographic transition is over, and underdeveloped regions with high natural increase of population where the demographic transition is only just beginning. Correlation and regression methods were used to quantify this relationship. The economic development and structural changes are discussed, relating to human factor. An adequate population policy through family planning is stressed as important in obtaining an increased return to scale with a more positive role of demographic factor.     

On probabilistic parametric inference

This paper formulates a theory of probabilistic parametric inference and explores the limits of its applicability. Unlike Bayesian statistical models, the system does not comprise prior probability distributions. Objectivity is imposed on the theory: a particular direct probability density should always result in the same posterior probability distribution. For calibrated posterior probability distributions it is possible to construct credible regions with posterior-probability content equal to the coverage of the regions, but the calibration is not generally preserved under marginalization. As an application of the theory, the paper also constructs a filter for linear Gauss–Markov stochastic processes with unspecified initial conditions.     

On MLEs of the parameters of a modified Weibull distribution based on record values

The modified Weibull distribution can be used quite effectively to model complex data from mechanical engineering or survival analysis studies that posses a monotonic or a bathtub-shape hazard rate. In this paper, we study the MLEs of the parameters of a modified Weibull distribution model in the presence of upper kth record values. The existence and uniqueness of the MLEs are proven in this case. Real data analysis is performed for illustrative purposes.     

The Impact of Cultural Events on Community Reputation and Pride in Maribor,The European Capital of Culture 2012

Social Indicators Research - This paper examines the cultural and social impacts of the European Capital of Culture (ECOC) on the case of the Slovenian city Maribor, the cultural capital of Europe...     

The relationship between reputation,employer branding and corporate social responsibility

Reputation management requires coordination between internal understanding and external expectations (Cornelissen, 2011). The focus of this study were external expectations of potential employees. The main goal of the study was to contribute to the understanding of corporate reputation and its connections with perceived corporate social responsibility and employer brands. All three concepts were investigated amongst 550 senior college business students. The units of analysis were top twenty national organizations, rated according to a syndicated study on employer attractiveness. The results show that students assign good reputation to those organizations that are perceived as socially responsible and with a good employer brand. Reputation, at least according to our results, seems to be the umbrella concept that encompasses both perceived corporate social responsibility and perceived employer brands. Organizations that develop different strategies, policies and practices with regards to socially responsible behavior and nurturing employer brands have higher levels of perceived reputation among students. Additionally, students' perceptions and position on the list of the most attractive employers is consistent.     

The impact of testosterone replacement therapy on glycemic control,vascular function,and components of the metabolic syndrome in obese hypogonadal men with type 2 diabetes

Objective: This study set out to assess effects of testosterone replacement therapy (TRT) on parameters of metabolic syndrome and vascular function in obese hypogonadal males with type 2 diabetes mellitus (DM2).

Study design: Fifty-five obese hypogonadal diabetic males on oral hypoglycemic treatment were enrolled into this one-year, double-blind, randomized, placebo-controlled clinical study. Group T (n?=?28) was treated with testosterone undecanoate (1000?mg i.m. every 10?weeks) while group P (n?=?27) received placebo.

Methods: Anthropometrical and vascular measurements – flow-mediated dilatation (FMD) and intima media thickness (IMT) – biochemical and hormonal blood sample analyses were performed at the start of the study and after one year. Derived parameters (BMI, HOMA-IR, calculated free testosterone (cFT) and bioavailable testosterone (BT)) were calculated.

Results: TRT resulted in reduction of HOMA-IR by 4.64?±?4.25 (p?p?p?=?.005).

Conclusion: TRT normalized serum testosterone levels, improved glycemic control and endothelial function while exerting no ill effects on the study population.     

Welfare State and Social Enterprise in Transition: Evidence from Serbia

This paper analyses welfare regime changes in Serbia and their impact on social enterprise development in the last two decades. We cover the period of significant transition-related reforms within the welfare state, with important implications on the position of these enterprises. Using data gathered from the qualitative field research, our study shows that there are two broad groups of factors that are important for development of the new generation of social enterprises, those that emerged in the last decade with an idea to foster entrepreneurial spirit and expanded into new domains other than those providing assistance to the marginalized groups. First, their decision to enter the social economy sector still depends on the environment created by the state. Secondly, their sustainability is affected by the factors typically found in any other enterprise of comparable scale like business skills, capacity to form networks and partner with relevant stakeholders.     

Estimation of flood frequencies from data sets with outliers using mixed distribution functions

In this paper the estimation of high return period quantiles of the flood peak and volume in the Kolubara River basin are carried out. Estimation of flood frequencies is carried out on a data set containing high outliers which are identified by the Rosner’s test. Simultaneously, low outliers are determined by the multiple Grubbs–Beck. The next step involved the usage of the mixed distribution functions applied to a data set from three populations: floods with low outliers, normal floods and floods with high outliers. The contribution of the data set with low outliers is neglected, since it should underestimate the flood quantiles with large return periods. Consequently, the best fitted mixed distribution from the applied types (EV1, GEV, P3 and LP3) was determined by using the minimum standard error of fit.