Alpha Power-Kumaraswamy Distribution with An Application on Survival Times of Cancer Patients

The aim of the study is to obtain the alpha power Kumaraswamy (APK) distribution. Some main statistical properties of the APK distribution are investigated including survival, hazard rate and quantile functions, skewness, kurtosis, order statistics. The hazard rate function of the proposed distribution could be useful to model data sets with bathtub hazard rates. We provide a real data application and show that the APK distribution is better than the other compared distributions fort the right-skewed data sets

Avrupa Birligi'ne Uyelik Surecinde Etkili Faktorlerin Kosullu Lojistik Regresyon Modelleri ile Degerlendirilmesi

The aims of this study are to investigate the factors effecting European Union (EU) membership using the conditional logistic regression models by constructing different matched case-control designs and to compare the models. Using data of 2009 in the EU database (1:1), (1:m) and (n:m) matching designs are constituted. The best model explaining the EU membership process is selected and influence analysis of this model is given. Then, the probability of being an EU member country within less than eight years is predicted for each candidate country. According to our findings, it is seen that balance of current account is effective on the EU membership. Iceland and Croatia will be EU member countries within eight years and other candidate countries will be the EU members more than eight years. Also, it is found that the conditional logistic regression model with (n:m) matching design gives better results for the EU membership.Matched Case-Control Designs, Conditional Logistic Regression Analysis, European Union, Balance of Current Account

Parametric and non-parametric estimation of extreme earthquake event: the joint tail inference for mainshocks and aftershocks

In an earthquake event, the combination of a strong mainshock and damaging aftershocks is often the cause of severe structural damages and/or high death tolls. The objective of this paper is to provide estimation for the probability of such extreme events where the mainshock and the largest aftershocks exceed certain thresholds. Two approaches are illustrated and compared -- a parametric approach based on previously observed stochastic laws in earthquake data, and a non-parametric approach based on bivariate extreme value theory. We analyze the earthquake data from the North Anatolian Fault Zone (NAFZ) in Turkey during 1965-2018 and show that the two approaches provide unifying results

Eosinophil infiltration, gastric juice and serum eosinophil cationic protein levels in Helicobacter pylori-associated chronic gastritis and gastric ulcer.

INTRODUCTION: Helicobacter pylori is one of the main causes of gastroduodenal diseases, such as chronic gastritis and peptic ulcer. It has been shown that eosinophils increase in the stomach in H. pylori infection. Eosinophilic cationic protein (ECP) is a cytotoxic molecule secreted by the activated eosinophils. However, there are no sufficient data about the role of ECP in H. pylori infection and its effect on ulcer development. In this study we investigated the gastric eosinophilic infiltration, gastric juice and serum ECP levels in patients with chronic gastritis and gastric ulcer associated with H. pylori. MATERIALS AND METHODS: Forty-four H. pylori-positive and 20 H. pylori-negative patients who underwent upper gastrointestinal system endoscopy after admitting with dyspeptic complaints were enrolled in the study. Twenty-one of the H. pylori-positive patients had gastric ulcer while 23 patients had none. During endoscopy, multiple gastric biopsies and juices were taken. In gastric biopsies, H. pylori and eosinophilic infiltration were assessed. Additionally, gastric juice and serum ECP levels were measured. RESULTS: Eosinophil infiltration, gastric juice ECP levels, and gastric juice/serum ECP ratios in the H. pylori-positive group were greater than in the H. pylori-negative group (p < 0.01). There was no statistically significant difference regarding serum ECP levels between the two groups (p > 0.05). When H. pylori-positive patients were compared with regard to gastric ulcer presence, however, there was no significant difference in gastric eosinophil infiltration, gastric juice ECP levels, serum ECP levels, and gastric juice/serum ECP ratios (p > 0.05). CONCLUSION: The results of this study suggest that eosinophils and eosinophil-released ECP may contribute to inflammatory changes seen in chronic gastritis, whereas there is no proof that they play a role in ulcer development

Parametric and non-parametric estimation of extreme earthquake event: the joint tail inference for mainshocks and aftershocks

In an earthquake event, the combination of a strong mainshock and damaging aftershocks is often the cause of severe structural damages and/or high death tolls. The objective of this paper is to provide estimation for the probability of such extreme events where the mainshock and the largest aftershocks exceed certain thresholds. Two approaches are illustrated and compared – a parametric approach based on previously observed stochastic laws in earthquake data, and a non-parametric approach based on bivariate extreme value theory. We analyze the earthquake data from the North Anatolian Fault Zone (NAFZ) in Turkey during 1965–2018 and show that the two approaches provide unifying results

Efficiency Analysis Of Foundation Universities In Turkey

Inadequacy of ratio analysis and parametric methods when comparing educational institutions and failure to achieve success in determining the most effective institutions, decision makers have led to the use of the Data Envelopment Analysis (DEA) technique, in comparative efficiency measures between in educational institutions. Furthermore, the number of research activities focused on the efficiency analysis of foundation universities in Turkey is not sufficient. The aims of this study are a) to determine the efficiencies of the foundation universities by using DEA which is a performance measurement method for increasing the efficiency of educational institutions and to rank foundation universities with regard to efficiency values (b) to examine which universities use their inputs unproductively and produce their output inefficiently. In this study, the numbers of professor, associate professor, assistant professor, research assistants and total budget expenses are used as input variables, the numbers of undergraduate, graduate and graduated students, the number of projects, the number of international publications are used output variables for 33 foundation universities in Turkey for year of 2009-2010. According to results, it is seen that Sabanci and Bilkent Universities are super-efficient for the academic year 2009-2010. Istanbul Arel University is the most inefficient university in Turkey. The findings indicate that foundation universities in Ankara are first, foundation universities in Izmir are second and foundation universities in Istanbul are the last order with regard to efficiency values. Besides, the foundation universities established before 2000 are more efficient than the foundation universities established after 2000 in Turkey.WoSScopu

Efficiency Of State Universities In Turkey During The 2014-2015 Academic Year And Determination Of Factors Affecting Efficiency

The concepts of efficiency and productivity are of vital importance in a world of limited resources. In this study, the productivity of state universities in Turkey is determined through data envelopment analysis, and the universities are ordered according to efficiency using a super efficiency model. Then, factors affecting efficiency are examined by Tobit and beta regression analysis; the results obtained from the two different methods are analyzed on a comparative basis. In the study, data from the 2014-2015 academic year are utilised to measure the training efficiency of 43 state universities in Turkey. As a result of data envelopment analysis, Gebze Technical University, Anadolu University, Middle East Technical University, Istanbul Technical University, Istanbul University, Marmara University, Hacettepe University, Gazi University, Ankara University, and Ege University are found to be effective universities. Generally, 22% of state universities are found to be effective. In terms of the criteria discussed in this study, Cumhuriyet University has the lowest efficiency value. According to the results of the Tobit and beta regression and h-index, the number of graduated students improves the efficiency value of state universities, while the presence of medical schools decreases the efficiency value.WoSScopu

The Lindley Family Of Distributions: Properties And Applications

In this paper, we propose a new class of distributions called the Lindley generator with one extra parameter to generate many continuous distributions. The new distribution contains several distributions as sub-models, such as Lindley-Exponential, Lindley-Weibull, and Lindley-Lomax. Some mathematical properties of the new generator, including ordinary moments, quantile and generating functions, limiting behaviors, some entropy measures and order statistics, which hold for any baseline model, are presented. Then, we discuss the maximum likelihood method to estimate model parameters. The importance of the new generator is illustrated by means of three real data sets. Applications show that the new family of distributions can provide a better fit than several existing lifetime models.WoSScopu

Determinants Of Electricity Consumption Based On The Nuts 2 Regions Of Turkey: A Panel Data Approach

Previous studies have focused on the relationship in recent years between electricity consumption and socio-economic indicators, but little attention has been paid to regional differences in Turkey. This study determines the electricity consumption indicators of Turkey based on the Nomenclature of Territorial Units for Statistics (NUTS 2) regions during 2004-2011. To achieve this objective, panel data regression models, including socioeconomic indicators (gross value added, and import and export amounts) were developed. The study represents the first instance of regional knowledge for electricity consumption using the panel data approach. The empirical results show that electricity consumption for the NUTS 2 regions can be modelled using fixed effects models with standard errors obtained by the White estimator. The study reveals that regional development leads to increases in electricity consumption. Furthermore, electricity demand has grown impressively in line with regional economic developments in Turkey.Wo

Generalized Lindley Family with application on Wind Speed Data

In this study we introduce a new extended class of continuous distributions named generalized Lindley family of distributions. Some properties of the new generator, including ordinary moments, quantile, generating and entropy functions, which hold for any baseline model, are presented. The method of maximum likelihood is used for estimating the model parameters. The flexibility of the new family of distributions is shown via an application on the wind speed data set. The results shows that the proposed family is better than well-known distributions including log-logistic, Burr, Dagum, Frechet, Pearson, Dagum, Lindley, Weibull and exponential distributions