Estimation of a process capability index for inverse gaussian distribution

In this article, interval estimates of Clements' process capability index are studied through bootstrapping when the underlying distribution is Inverse Gaussian. The standard bootstrap, the percentile bootstrap, and the bias-corrected percentile bootstrap confidence intervals are compared.     

Improving TAIEX forecasting using fuzzy time series with Box–Cox power transformation

Box–Cox together with our newly proposed transformation were implemented in three different real world empirical problems to alleviate noisy and the volatility effect of them. Consequently, a new domain was constructed. Subsequently, universe of discourse for transformed data was established and an approach for calculating effective length of the intervals was then proposed. Considering the steps above, the initial forecasts were performed using frequently used fuzzy time series (FTS) methods on transformed data. Final forecasts were retrieved from initial forecasted values by proper inverse operation. Comparisons of the results demonstrate that the proposed method produced more accurate forecasts compared with existing FTS on original data.     

Alternative tests for heteroscedasticity of disturbances:a comparative study

This paper presents three small sample tests for testing the heteroscedasticity among regression disturbances. The power of these tests are compared with two of the leading tests for this hypothesis, one by Goldfeld and Quandt [5] and the other by Theil [17]. We also provide a heuristic method of selecting the number of middle observations to be deleted for the Goldfeld-Quandt type of tests.     

Influence of Late Life Stressors on the Decisions of Older Women to Relocate into Congregate Senior Housing

Late-life stressors often require individuals to make substantial alterations in behavior and lifestyle and can affect their overall health and well-being. Relocation is a significant life stress, regardless of age. The primary aim of this study is to elucidate the push-pull factors associated with moving into congregate senior housing. The secondary aim is to investigate the decision-making processes and stresses associated with moving into a congregate living environment. Interviews were conducted with 26 women who were new residents in congregate senior housing. Relocation, as expected, was considered to be stressful, although individual differences were found among perceptions of relocation stresses. Women who had made the decision to relocate on their own showed evidence of better psychosocial well-being at the time of the move. One-quarter of the sample chose to move to provide care to another person. As the options for senior housing continue to evolve and the number of adults reaching advanced age continues to increase, it is important to understand the factors that contribute to successful adaptation. This knowledge will enable facility administrators to implement programs and procedures to assist incoming residents with acclimating to their new homes.     

Media and the Intersectional Other

This article presents the findings of an intersectional study on migrant women on German television. Besides content and textual analyses, we conducted focus groups with audiences and interviews with migrant media workers. As the representation of Others was explored through the nodes of production, consumption, and identity, a complicated intersectional practice emerged. We found the televised representations of migrant women to be dominated by (often veiled) women as signifiers of non-integration but also by instances when gendered ethnicity was used as a marketable attribute. The audiences and producers employed various distancing strategies: they criticized specific programs for blatant stereotyping as much as didactic counter-stereotyping while downplaying systemic shortfalls of the coverage. These distancing strategies were intensified by the acceptance of individualized ideologies of success and commodified logics of media production. Ultimately, class appeared as the central demarcating category. On German television a problematic class distinction was articulated through ethnic and gender difference. Female migrants were often “othered” as lower-class. This class discourse absolved middle-class viewers and media workers from engaging in the systemic struggles over female/migrant identities, thus undermining the potential for gender and migrant solidarity and for the dynamic creation of cultural citizenship as a mode of belonging.     

Die Bedeutung der Zinsschranke

The German Corporate Tax Reform Act of 2008 requires an adjustment of classic valuation concepts because it limits interest deduction from taxable income depending on the operating performance of the company. By using time- and state-contingent discount rates in a risk-neutral valuation with predetermined debt levels, a theoretically sound valuation result is obtained. However, a modified APV-concept which assumes deterministic debt over the planning horizon and constant leverage in the terminal value phase also yields consistent valuation results when two types of tax shields with different levels of risk are distinguished.     

Zur näherungsweisen ermittlung optimaler stochastischer steuerimgen durch diskretisierung

Considered are stochastic continuous-time control systems described by stochastic differential equations, which are defined by special martingals. Examples are given by the well known Ito equations with respect to a Wiener - or a Poisson process. By means of a performance index, regarding current yields as well as a terminal payment a control problem is formulated. The essential result in view of concrete evaluation is the approximation by a sequence of discrete-time finite dimensional control problems.     

Using Panel Data to Understand the Dynamics of Human Behavior in Response to Flooding

Insights into the dynamics of human behavior in response to flooding are urgently needed for the development of effective integrated flood risk management strategies, and for integrating human behavior in flood risk modeling. However, our understanding of the dynamics of risk perceptions, attitudes, individual recovery processes, as well as adaptive (i.e., risk reducing) intention and behavior are currently limited because of the predominant use of cross-sectional surveys in the flood risk domain. Here, we present the results from one of the first panel surveys in the flood risk domain covering a relatively long period of time (i.e., four years after a damaging event), three survey waves, and a wide range of topics relevant to the role of citizens in integrated flood risk management. The panel data, consisting of 227 individuals affected by the 2013 flood in Germany, were analyzed using repeated-measures ANOVA and latent class growth analysis (LCGA) to utilize the unique temporal dimension of the data set. Results show that attitudes, such as the respondents’ perceived responsibility within flood risk management, remain fairly stable over time. Changes are observed partly for risk perceptions and mainly for individual recovery and intentions to undertake risk-reducing measures. LCGA reveal heterogeneous recovery and adaptation trajectories that need to be taken into account in policies supporting individual recovery and stimulating societal preparedness. More panel studies in the flood risk domain are needed to gain better insights into the dynamics of individual recovery, risk-reducing behavior, and associated risk and protective factors.     

Cox regression with missing covariate data using a modified partial likelihood method

Missing covariate values is a common problem in survival analysis. In this paper we propose a novel method for the Cox regression model that is close to maximum likelihood but avoids the use of the EM-algorithm. It exploits that the observed hazard function is multiplicative in the baseline hazard function with the idea being to profile out this function before carrying out the estimation of the parameter of interest. In this step one uses a Breslow type estimator to estimate the cumulative baseline hazard function. We focus on the situation where the observed covariates are categorical which allows us to calculate estimators without having to assume anything about the distribution of the covariates. We show that the proposed estimator is consistent and asymptotically normal, and derive a consistent estimator of the variance–covariance matrix that does not involve any choice of a perturbation parameter. Moderate sample size performance of the estimators is investigated via simulation and by application to a real data example.