Prediction intervals in exponential families

A method for obtaining prediction intervals for an outcome of a future experiment is presented. The method uses hypothesis testing as a tool to derive prediction intervals and assumes that the probability distributions of informative and future experiments are one parameter exponential families. Asymptotic similar mean coverage prediction intervals are derived using the score test as a test statistics. Examples are presented and asymptotic prediction limits are compared with the prediction limits given in the literature.     

Towards a job competency profile for agricultural extension instructors: A survey of views of experts

A project is carried out for instructors in the agricultural extension service in Esfahan. Part of the project is study, conducted to inform the process of competency profile development for the instructors. The study, reported in this contribution, focuses on views of experts about competencies needed by the instructors. The survey is based on the methodology for developing models of HRD, in which 257 key experts participated. A mix of methods was used for collecting data. The most important competencies found in this study are subject matter and business understanding, and presentation skill. The most essential outputs are presentation of instructional materials, feedback to learners and equipping learners with new competencies after the course. In this contribution, competencies and outputs are elaborated. Further research is needed regarding performance improvement as a result of the efforts of the instructors, and the views of other stakeholders on the development of the agri-clusters.     

Transfer pricing—A survey using discriminant analysis

There is a considerable literature on transfer pricing. One strand of this literature is empirical and is concerned with the extent to which companies use the various transfer pricing methods. The other strand is strongly normative being directed to devising transfer pricing methods and defining the circumstances under which it is appropriate to use them. This study attempts to address both these questions by using discriminant analysis methods to predict which approach a company will use to determine transfer prices given its weightings of certain ‘determinants’ which theory suggests should be relevant to the decision. Domestic and international transfer pricing are considered separately. Discriminant analysis is shown to be quite successful in predicting the transfer pricing systems adopted by the UK companies surveyed.     

On the Multivariate Two-Sample Problem Using Strong Approximations of Empirical Copula Processes

In this article, we establish optimal rates for the strong approximation of empirical copula processes in ?² by sequences of Gaussian processes. These results are applied to investigate Cramér–von Mises-type statistics.     

Strong approximation of empirical copula processes by Gaussian processes

In this paper, we provide the strong approximation of normalized empirical copula processes by a Gaussian process. In addition, we establish a strong approximation of the smoothed empirical copula processes and a law of iterated logarithm.     

Körper-Kunst in der Kinderklinik – ein interdisziplinäres Projekt zwischen Pädiatrie, Tanztheater und Psychosomatik

On the basis of the deconstructive idea of dance as a means to experience inner coherences as well as dehiscences within the body, an interdisciplinary project between psychosomatic medicine, pediatrics and dance is outlined. Social processes between dancers, adolescents and trainer within a single clinically more in detail described workshop are presented and related to the situation of chronically ill children. Hereby, a reintegration of the rejected and negatively charged body in chronic conditions is initialized.     

Teaching Social Work in an Online Environment

This article discusses the current debate surrounding online instruction (also known as distance) versus in-class social work instruction and reviews the relevant literature associated with those instructional models. The discussion specifically focuses on key issues, including the definition and growth of online education and the Blackboard revolution, and it addresses concerns about the effectiveness of teaching online compared to in-class social work instruction in areas related to students’ learning outcomes and satisfaction. Literature references also suggest that factors such as demographics may be related to outcome differences between distance and traditional students, while others found no significant differences between both student populations and their learning outcomes in particular courses such as research methods courses. Even today, however, the comparisons between online and traditional courses are unsettled, and many questions remain about the appropriateness or usefulness of these models. Therefore, the debate will continue to lead to even larger disagreements between researchers and educators on both sides. The concern about the effectiveness of teaching in an online environment is still the main concern of educational models in general and of social work education in particular. Even deeper concerns are found among educators and scholars about the ethical issues surrounding the entire online education debate.     

Nonparametric bootstrapping for hierarchical data

Nonparametric bootstrapping for hierarchical data is relatively underdeveloped and not straightforward: certainly it does not make sense to use simple nonparametric resampling, which treats all observations as independent. We have provided some resampling strategies of hierarchical data, proved that the strategy of nonparametric bootstrapping on the highest level (randomly sampling all other levels without replacement within the highest level selected by randomly sampling the highest levels with replacement) is better than that on lower levels, analyzed real data and performed simulation studies.     

What influences respondents to behave consistently when asked to consent to health record linkage on repeat occasions?

This study constitutes the first longitudinal exploration of consent to link survey and administrative data. It examines variations in consent over time and explores the influence of the respondents’ characteristics (both observed and latent) and the impact of the interviewers on consent co-operation. Respondent inclination to consent is modelled as a latent construct. Most respondents behave consistently over time. However, this consistency is not driven by a strong inclination to consent but rather by the circumstances of the respondents at the time of the interview and by the impact of the interviewers themselves. The findings also show that the change in consent behaviour over time is a clear indication that consent should be treated as a dynamic phenomenon at the individual level.     

Variation within households in consent to link survey data to administrative records: evidence from the UK Millennium Cohort Study

This study expands our knowledge of consent in linking survey and administrative data by studying respondents’ behaviour when consenting to link their own records and when consenting to link those of their children. It develops and tests a number of hypothesised mechanisms of consent, some of which were not explored in the past. The hypotheses cover: parental pride, privacy concerns, loyalty to the survey, pre-existing relations with the agency holding the data, and interviewer effects. The study uses data from the longitudinal Millennium Cohort Study to analyse the correlates of consent in multiple domains (i.e. linkage of education, health and economic records). The findings show that respondent’s behaviour vary depending on the consent domain and on the person within the household for whom consent is sought. In particular, the cohort member’s cognitive skills and the main respondent’s privacy concerns have differential effects on consent. On the other hand, loyalty to the survey proxied by the longitudinal response history has a significant and strong impact on consent irrespective of the outcome. The findings also show that interviewers account for a large proportion of variations in consent even after controlling for the characteristics of the interviewer’s assignment area. In total, it is possible to conclude that the significant impact of some of the correlates will lead to sample bias which needs to be accounted for when working with linked survey and administrative data.