Model selection in random effects models for directed graphs using approximated Bayes factors

With the development of an MCMC algorithm, Bayesian model selection for the p ₂ model for directed graphs has become possible. This paper presents an empirical exploration in using approximate Bayes factors for model selection. For a social network of Dutch secondary school pupils from different ethnic backgrounds it is investigated whether pupils report that they receive more emotional support from within their own ethnic group. Approximated Bayes factors seem to work, but considerable margins of error have to be reckoned with.     

北欧维修指标分析和欧盟维修学会的关键指标

在欧洲，把维修指标作为全部管理系统一部分的公司越来越多。本重点介绍欧盟维修学会(EFNMS)的关键指标及其定义。在丹麦、芬兰和瑞典曾经使用(北欧维修指标分析)(Nordic Benchmarking Analysis)一中的欧盟维修学会指标，提高了他们工业的维修效率和生产效率。本着重说明关键指标的分析与使用所带来的成果，以及把这些成果与世界级水平相比较。     

Knowledge spillover from other assurance services

We argue that services which are complimentary and closer aligned to the annual report audit provide greater insight about risk and are more likely to exhibit the existence of economies of scope (knowledge spillover) through a positive association with audit fees. Specifically, we consider the potential for knowledge spillover from the auditing of triennial Long-Term Plans (LTP) to the annual report audit for a large sample of New Zealand municipals over the period 2005–2013. We find the LTP audit fees are positively related to municipal annual report audit fees and other fees (audit of for-profit subsidiaries, non-audit services) are not. This suggests that knowledge spillovers are dependent on the nature of the additional services. We also find evidence of higher fees for private sector auditors for both the annual report and the LTP audit. The LTP (forecast) audit fee is associated with municipal size, complexity, and political competition.     

Non-technical skills for managing risk and performance in financial trading

Recent large-scale failures in financial institutions have been found to be caused, in-part, by human factors-related issues in financial trading. In other environments where risk management and performance are intertwined, a human factors approach is often adopted to understand how the ‘non-technical skills (NTS)’ (leadership (LD), decision-making (DM), situation awareness (SA), teamwork) of organisational actors influence outcomes. Yet, to date, there has been minimal application of human factors research in financial trading. This study (i) identifies ‘real-world’ (i.e. non-laboratory) research studies investigating the NTS important for performance in financial trading, (ii) examines and synthesises data on the NTS found to underpin good or poor performance and (iii) considers the quality and coverage of research investigating NTS in financial trading, and identifies potential areas for future research. Nineteen studies were identified through a systematic literature search and then content-analysed for associations between NTS and performance in financial trading. The review found a range of decision-making (e.g. heuristics and biases, intuitive DM, emotional regulation) and LD skills (e.g. setting standards, monitoring behaviour, encouraging speaking-up) to have been identified as important for managing risk and performance in financial trading environments. Furthermore, SA (e.g. information search and assessment strategies, vigilance, identifying ‘noise’ data) and teamwork (e.g. avoiding ‘role’ conflict, communication between traders) were found to be important, yet remain less explored within the literature, and should be the focus of future research. NTS appear essential for effective risk management within the financial sector, yet further field research is required to examine the context-relevant behaviours that underpin safe activity. This will facilitate the development of evidence-based systems for assessing and training NTS competencies.