Reliability Evaluation for a Multi-State System Under Stress-Strength Setup

The two most commonly used reliability models in engineering applications are binary k-out-of-n:G and consecutive k-out-of-n:G systems. Multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G systems have been proposed as an extension of these systems and they have been found to be more flexible tool for modeling engineering systems. In this article, multi-state systems, in particular, multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G, are considered in a stress-strength setup. The states of the system are classified considering the number of components whose strengths above (below) the multiple stresses available in an environment. The exact state probabilities are provided and the results are illustrated for various stress-strength distributions. Maximum likelihood estimators of state probabilities are also presented.     

GMM inference in spatial autoregressive models

In this study, we investigate the finite sample properties of the optimal generalized method of moments estimator (OGMME) for a spatial econometric model with a first-order spatial autoregressive process in the dependent variable and the disturbance term (for short SARAR(1, 1)). We show that the estimated asymptotic standard errors for spatial autoregressive parameters can be substantially smaller than their empirical counterparts. Hence, we extend the finite sample variance correction methodology of Windmeijer (2005 Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics 126(1):25–51.[Crossref], [Web of Science ®] , [Google Scholar]) to the OGMME for the SARAR(1, 1) model. Results from simulation studies indicate that the correction method improves the variance estimates in small samples and leads to more accurate inference for the spatial autoregressive parameters. For the same model, we compare the finite sample properties of various test statistics for linear restrictions on autoregressive parameters. These tests include the standard asymptotic Wald test based on various GMMEs, a bootstrapped version of the Wald test, two versions of the C(α) test, the standard Lagrange multiplier (LM) test, the minimum chi-square test (MC), and two versions of the generalized method of moments (GMM) criterion test. Finally, we study the finite sample properties of effects estimators that show how changes in explanatory variables impact the dependent variable.     

A Monte Carlo simulation study on partially adaptive estimators of linear regression models

This paper presents a comprehensive comparison of well-known partially adaptive estimators (PAEs) in terms of efficiency in estimating regression parameters. The aim is to identify the best estimators of regression parameters when error terms follow from normal, Laplace, Student's t, normal mixture, lognormal and gamma distribution via the Monte Carlo simulation. In the results of the simulation, efficient PAEs are determined in the case of symmetric leptokurtic and skewed leptokurtic regression error data. Additionally, these estimators are also compared in terms of regression applications. Regarding these applications, using certain standard error estimators, it is shown that PAEs can reduce the standard error of the slope parameter estimate relative to ordinary least squares.     

In search of disability rights: citizenship and Turkish disability organizations

Criticizing modern citizenship’s emphasis on the ‘nation’ as a homogeneous body of citizens, recent citizenship conceptions draw attention to diverse group identities and their differentiated rights‐claims. By way of scrutinizing different disability organizations, this paper analyzes the struggles by people with disabilities in Turkey and examines whether these could be perceived as claims to new forms of citizenship. It argues that due to the institutional, political, cultural and historical specificities of Turkey, most non‐governmental organizations maintain relations of patronage with state actors. Far from initiating a rights‐based discourse, their activities cannot be perceived within recent citizenship frameworks. Yet, parallel to Turkey’s accession process to the EU and technological developments, alternative forms of organizing started emerging at the virtual level. These are the harbingers of a relatively more rights‐based discourse.     

The E-Bayesian and hierarchical Bayesian estimations for the proportional reversed hazard rate model based on record values

In this paper, E-Bayesian and hierarchical Bayesian estimations of the shape parameter, when the underlying distribution belongs to the proportional reversed hazard rate model, are considered. Maximum likelihood, Bayesian and E-Bayesian estimates of the unknown parameter and reliability function are obtained based on record values. The Bayesian estimates are derived based on squared error and linear–exponential loss functions. It is pointed out that some previously obtained order relations of E-Bayesian estimates are inadequate and these results are improved. The relationship between E-Bayesian and hierarchical Bayesian estimations is obtained under the same loss functions. The comparison of the derived estimates is carried out by using Monte Carlo simulations. A real data set is analysed for an illustration of the findings.     

Robust trading mechanisms over 0/1 polytopes

The problem of designing a trade mechanism (for an indivisible good) between a seller and a buyer is studied in the setting of discrete valuations of both parties using tools of finite-dimensional optimization. A robust trade design is defined as one which allows both traders a dominant strategy implementation independent of other traders’ valuations with participation incentive and no intermediary (i.e., under budget balance). The design problem which is initially formulated as a mixed-integer non-linear non-convex feasibility problem is transformed into a linear integer feasibility problem by duality arguments, and its explicit solution corresponding to posted price optimal mechanisms is derived along with full characterization of the convex hull of integer solutions. A further robustness concept is then introduced for a central planner unsure about the buyer or seller valuation distribution, a corresponding worst-case design problem over a set of possible distributions is formulated as an integer linear programming problem, and a polynomial solution procedure is given. When budget balance requirement is relaxed to feasibility only, i.e., when one allows an intermediary maximizing the expected surplus from trade, a characterization of the optimal robust trade as the solution of a simple linear program is given. A modified VCG mechanism turns out to be optimal.     

Uniform trade rules for uncleared markets

We analyze markets in which the price of a traded commodity is such that the supply and the demand are unequal. Under standard assumptions, the agents then have single peaked preferences on their consumption or production choices. For such markets, we propose a class of Uniform trade rules each of which determines the volume of trade as the median of total demand, total supply, and an exogenous constant. Then these rules allocate this volume “uniformly” on either side of the market. We evaluate these “trade rules” on the basis of some standard axioms in the literature. We show that they uniquely satisfy Pareto optimality, strategy proofness, no-envy, and an informational simplicity axiom that we introduce. We also analyze the implications of anonymity, renegotiation proofness, and voluntary trade on this domain.     

Tracking public relations history in 1960s’ Turkey: The prevalence and reflections of development discourse

This study is based on a historical research, which focuses on the institutionalization of public relations in Turkey during the 1960s, and interprets this process in the frame of planned development discourse. Primary written sources collected from archive research and oral narratives generated from fourteen semi-structured interviews conducted with the pioneers in Turkey are analyzed through categorization and thematization. Findings of the historical research indicated that similar themes and orientations guided public relations practices in public and private sector in this period. Accordingly public relations education provided necessary intellectual background and human resources.     

Intercultural teaching through translation: an Information and Communication Technologies (ICT) literacy course case in Afghanistan

The purpose of this study was to teach and evaluate the effectiveness of an Information and Communication Technologies (ICT) course through translation to students in Afghanistan. First, an interview was conducted to determine students’ computer skills. It was concluded that the students had almost no computer skills. The course was delivered to two groups of first-year students for 14 weeks during one semester. In group one, students were taught by a Turkish instructor through a translator. The course was delivered to group 2 by a native-language speaking teacher. At the end of the semester, students of both groups were given a final exam and were asked to comment about teaching speed, overall satisfaction, teacher reactions, course materials and future improvements to the course. Statistically, there was no significant difference between the final performances of students in both groups. The students also declared that they wanted to greatly improve their computer skills and use the Internet to make use of digital ICT resources for other courses, too. An additional finding was that there was a 20-min time-delay between the Turkish and native groups due to the translation process throughout each course session.