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Abimbola A. Akanni, Idowu Omisile and Choja A. Oduaran

Abstract

Workplace deviant behavior has been linked to a number of organizational losses such as decreased employee morale, increased turnover and loss of legitimacy among important external stakeholders. Therefore, this paper investigated the relationships between religiosity, job status and workplace deviant behavior. Participants consisted of 351 (F=178; Mean age=39.2) employees of the Local Government Service Commission in Nigeria. Data which were sourced through the Workplace Deviant Behavior Scale and Centrality of Religiosity Scale were analyzed using multiple regression. Results revealed that religiosity negatively related to workplace deviant behavior, but no significant difference was found between junior and senior staff in their display of workplace deviant behavior. In addition, both religiosity and job status jointly influenced respondents’ workplace deviant behavior. The findings imply that high religiosity among employees might reduce the risks of deviance and in turn create a better work environment.

Open access

Vasile Gherheş

Abstract

The study presents the results regarding the attitudes of students from humanities and technical specializations in Timișoara towards the emergence and development of artificial intelligence (AI). The emphasis was on the most likely consequences of the development of artificial intelligence in the future, especially the negative consequences that its development would entail. The method used for data collection was the sociological survey and the information gathering tool was the questionnaire. It was applied to a total of 929 people, ensuring a sample representativity margin of ± 3%. The analysis reveals that the participants in the study predict that due to the emergence and development of AI, in the future, interpersonal relationships will be negatively affected, there will be fewer jobs, economic crises will emerge, it will be used to make intelligent weapons, to increase military conflicts, to take control of humanity and, last but not least, to destroy mankind. The results revealed differences in responses depending on the type of specialization (humanities or technical) and the gender of the respondents.

Open access

M. Iwańska, A. Oleksy, M. Dacko, B. Skowera, T. Oleksiak and E. Wójcik-Gront

Summary

Wheat is one of the modern world’s staple food sources. Its production requires good environmental conditions, which are not always available. However, agricultural practices may mitigate the effects of unfavorable weather or poor-quality soils. The influence of environmental and crop management variables on yield can be evaluated only based on representative long-term data collected on farms through well-prepared surveys.The authors of this work analyzed variation in winter wheat yield among 3868 fields in western and eastern Poland for 12 years, as dependent on both soil/weather and crop management factors, using the classification and regression tree (CART) method. The most important crop management deficiencies which may cause low wheat yields are insufficient use of fungicides, phosphorus deficiency, non-optimal date of sowing, poor quality of seeds, failure to apply herbicides, lack of crop rotation, and use of cultivars of unknown origin not suitable for the region. Environmental variables of great importance for the obtaining of high yields include large farm size (10 ha or larger) and good-quality soils with stable pH. This study makes it possible to propose strategies supporting more effective winter wheat production based on the identification of characteristics that are crucial for wheat cultivation in a given region.

Open access

Ravi Shanker Dubey, Anil Sharma and Monika Jain

Abstract

Elliptic-type integral plays a major role in the study of different problems of physics and technology including fracture mechanics. Many papers have been written for various families of elliptic-type integrals. Due to their applications here, we are presenting an organized study of certain generalized family of incomplete elliptic integral. The obtained results are basic in nature have various generalizations. While using the fractional integral operator of Riemann-Liouville type, we found several obvious hyper geometric representations. Which are further used to originate many definite integrals relating to their modules and amplitude of elliptic type generalized incomplete integrals.

Open access

Jonathan Gessendorfer, Jonas Beste, Jörg Drechsler and Joseph W. Sakshaug

Abstract

Record linkage has become an important tool for increasing research opportunities in the social sciences. Surveys that perform record linkage to administrative records are often required to obtain informed consent from respondents prior to linkage. A major concern is that nonconsent could introduce biases in analyses based on the linked data. One straightforward strategy to overcome the missing data problem created by nonconsent is to match nonconsenters with statistically similar units in the target administrative database. To assess the effectiveness of statistical matching in this context, we use data from two German panel surveys that have been linked to an administrative database of the German Federal Employment Agency. We evaluate the statistical matching procedure under various artificial nonconsent scenarios and show that the method can be effective in reducing nonconsent biases in marginal distributions, but that biases in multivariate estimates can sometimes be worsened. We discuss the implications of these findings for survey practice and elaborate on some of the practical challenges of implementing the statistical matching procedure in the context of linkage nonconsent. The developed simulation design can act as a roadmap for other statistical agencies considering the proposed approach for their data.

Open access

Nuri Celik

Abstract

In this article, we introduce some examples of cubic rank transmuted distributions proposed by Granzatto et al. (2017). The statistical aspects of the introduced distributions such as probability density functions, hazard rate functions and reliability functions are studied. The maximum likelihood estimation method is used in order to estimate the parameters of interest. Finally, real data examples are applied for the illustration of these distributions.

Open access

Evi Nurleni

Abstract

This study aims to describe the role of reproductive, productive and community working of the society of KerengBangkirai and to know the requirement of woman practice and strategic needs in KerengBangkirai. It used qualitative approach with humans as study object. The object of study is the KerengBangkirai society. The result showed that the role of reproductive role became women’s responsibility, either wife/mother or daughter. The role of gender within the community showed the lack of access and women’s control in making important decision. In fact, women are usually missed from village officers’ attention. The women’s practical needs include skills of using fishing gear, child care provider, child room building and others. Then, women’s strategic needs include authority alteration in term of decision-making involvement, equalling job division in domestic sector, women’s involvement in paid toilets as their productive workspace, violence awareness of gender-based and achieving fair access and control.

Open access

Ida Aichinger and Gerhard Larcher

Abstract

We study sets of bounded remainder for the billiard on the unit square. In particular, we note that every convex set S whose boundary is twice continuously differentiable with positive curvature at every point, is a bounded remainder set for almost all starting angles a and every starting point x. We show that this assertion for a large class of sets does not hold for all irrational starting angles α.

Open access

Martin Karlberg, Silvia Biffignandi, Piet J.H. Daas, Loredana Di Consiglio, Anders Holmberg, Risto Lehtonen, Ralf T. Münnich, Boro Nikic, Marianne Paasi, Natalie Shlomo, Roxane Silberman and Ineke Stoop

Open access

Loredana Di Consiglio and Tiziana Tuoto

Abstract

Data integration is now common practice in official statistics and involves an increasing number of sources. When using multiple sources, an objective is to assess the unknown size of the population. To this aim, capture-recapture methods are applied. Standard capture-recapture methods are based on a number of strong assumptions, including the absence of errors in the integration procedures. However, in particular when the integrated sources were not originally collected for statistical purposes, this assumption is unlikely and linkage errors (false links and missing links) may occur. In this article, the problem of adjusting population estimates in the presence of linkage errors in multiple lists is tackled; under homogeneous linkage error probabilities assumption, a solution is proposed in a realistic and practical scenario of multiple lists linkage procedure.