Estimation of P{X < Y} for geometric—exponential model based on complete and censored samples

This article deals with the estimation of R = P{X < Y}, where X and Y are independent random variables from geometric and exponential distribution, respectively. For complete samples, the MLE of R, its asymptotic distribution, and confidence interval based on it are obtained. The procedure for deriving bootstrap-p confidence interval is presented. The UMVUE of R and UMVUE of its variance are derived. The Bayes estimator of R is investigated and its Lindley's approximation is obtained. A simulation study is performed in order to compare these estimators. Finally, all point estimators for right censored sample from the exponential distribution, are obtained.     

Prediction of posttraumatic stress disorder symptomatology after childbirth – A Croatian longitudinal study

Background

Following childbirth, a vast number of women experience some degree of mood swings, while some experience symptoms of postpartum posttraumatic stress disorder.

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.     

Goodness-of-fit tests for Pareto distribution based on a characterization and their asymptotics

In this paper we present a new characterization of the Pareto distribution and consider goodness-of-fit tests based on it. We provide an integral and Kolmogorov–Smirnov-type statistics based on U-statistics and we calculate Bahadur efficiency for various alternatives. We find locally optimal alternatives for those tests. For small sample sizes, we compare the power of those tests with some common goodness-of-fit tests.     

The Volunteer Satisfaction Index: A Validation Study in the Cultural Context of the Two European Titles—Youth 2019 and Culture 2021, Novi Sad,Serbia

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Conducting a study on a sample of 303 participants from the Novi Sad Voluntary Service we set out to validate the...     

The praxiological validity of natural scientific practices as a criterion for identifying their unique social-object character: The case of the ‘authentication’ of Goethe's morphological theorem

The author would like to thank Mike Lynch, Eric Livingston, Shelley Schweizer-Bjelic, and the anonymous reviewers of this text for their comments.     

Correlation properties of continuous-time autoregressive processes delayed by the inverse of the stable subordinator

Abstract

We define the delayed Lévy-driven continuous-time autoregressive process via the inverse of the stable subordinator. We derive correlation structure for the observed non-stationary delayed Lévy-driven continuous-time autoregressive processes of order p, emphasizing low orders, and we show they exhibit long-range dependence property. Distributional properties are discussed as well.