Answer-perturbation techniques for the protection of statistical databases

This paper presents an answer-perturbation model for the protection of statistical databases. Compared to previous approaches, this model saves both space and time since neither a copy of the original database nor an extra processing of the query set is needed. The modularity of our protection mechanism (perturbation is applied after the query processing, not during it or upon data entry, as in the other approaches) facilitates the implementation. The method presented is user-oriented and since the usability (accuracy) of the statistically altered answers can be fine-tuned, the balance between usability and protection (security) is under the control of the database administrator.     

Modelling state anxiety in a medical setting: The mediating role of embarrassment

Abstract

Little research has been conducted on the relationship between state anxiety and embarrassment in a medical setting. In the prcsent study, several personality and situational variables were examined as antecedents of state anxiety. A total of 277 patients who had come for an examination either as a response to a melanoma screening programme or due to a dermatological complaint participated in the study. Results showed that purpose of patient visit, physician's recommendation, trait anxiety, and embarrassment, were each correlated with state anxiety. Furthermore, using mediated regression analysis as well as structural equations, embarrassment was found to mediate between the above antecedents and state anxiety. The authors proposed a model linking all the variables and identifying their paths. Theoretical and practical considerations of the findings are discussed.     

Elevator planning with stochastic multicriteria acceptability analysis

Modern elevator systems in high-rise buildings consist of groups of elevators with centralized control. The goal in elevator planning is to configure a suitable elevator group to be built. The elevator group must satisfy specific minimum requirements for a number of standard performance criteria. In addition, it is desirable to optimize the configuration in terms of other criteria related to the performance, economy and service level of the elevator group. Different stakeholders involved in the planning phase emphasize different criteria. Most of the criteria measurements are by nature uncertain. Some criteria can be estimated by using analytical models, while others, especially those related to the service level in different traffic patterns, require simulations.     

Phantom Menaces: The Politics of Rumour,Securitisation and Masculine Identities in the Shadows of the Ninjas

The article examines the 2009–2010 Zumalai ‘ninja’ scare, in which the deaths of a child and a young woman had triggered rumours of shadowy ninjas being at work, which in turn led to a massive operation by police special forces. The article traces the history of the ninja phenomenon in Timor-Leste and Indonesia. It then examines the case from three different vantage points: the politics of rumour surrounding the case; the securitisation of the scare; and as a clash of competing masculinities. Through these approaches, not only some of the long-lasting legacies of Indonesian occupation and of the resistance become visible, but also some of the profound societal changes since independence.     

The use of probabilistic models to produce optimal graphical displays of high-dimensional data sets

Summary Several techniques for exploring ann×p data set are considered in the light of the statistical framework: data-structure+noise. The first application is to Principal Component Analysis (PCA), in fact generalized PCA with any metric M on the unit space ℝ _p . A natural model for supporting this analysis is the fixed-effect model where the expectation of each unit is assumed to belong to some q-dimensional linear manyfold defining the structure, while the variance describes the noise. The best estimation of the structure is obtained for a proper choice of metric M and dimensionality q: guidelines are provided for both choices in section 2. The second application is to Projection Pursuit which aims to reveal structure in the original data by means of suitable low-dimensional projections of them. We suggest the use of generalized PCA with suitable metric M as a Projection Pursuit technique. According to the kind of structure which is looked for, two such metrics are proposed in section 3. Finally, the analysis ofn×p contingency tables is considered in section 4. Since the data are frequencies, we assume a multinomial or Poisson model for the noise. Several models may be considered for the structural part; we can say that Correspondence Analysis rests on one of them, spherical factor analysis on another one; Goodman association models also provide an alternative modelling. These different approaches are discussed and compared from several points of view.     

An autoregressive model based on the generalized hyperbolic distribution

We define a nonlinear autoregressive time series model based on the generalized hyperbolic distribution in an attempt to model time series with non-Gaussian features such as skewness and heavy tails. We show that the resulting process has a simple condition for stationarity and it is also ergodic. An empirical example with a forecasting experiment is presented to illustrate the features of the proposed model.     

College Education and Social Trust: An Evidence-Based Study on the Causal Mechanisms

This paper examines the influence of college education on social trust at the individual level. Based on the literature of trust and social trust, we hypothesize that life experience/development since adulthood and perceptions of cultural/social structures are two primary channels in the causal linkage between college education and social trust. In the first part of the empirical study econometric techniques are employed to tackle the omitted-variable problem and substantial evidence is found to confirm the positive effect of college education. In the second part contemporary information is used to examine the hypothetical mechanisms in the causal inference. That life experience is a primary channel via which college education promotes social trust fails to find support in our examination, while individual perceptions of cultural and social structures explain up to 77% of the causal effect.     

Consequences of effect size heterogeneity for meta-analysis: a Monte Carlo study

In this article we use Monte Carlo analysis to assess the small sample behaviour of the OLS, the weighted least squares (WLS) and the mixed effects meta-estimators under several types of effect size heterogeneity, using the bias, the mean squared error and the size and power of the statistical tests as performance indicators. Specifically, we analyse the consequences of heterogeneity in effect size precision (heteroskedasticity) and of two types of random effect size variation, one where the variation holds for the entire sample, and one where only a subset of the sample of studies is affected. Our results show that the mixed effects estimator is to be preferred to the other two estimators in the first two situations, but that WLS outperforms OLS and mixed effects in the third situation. Our findings therefore show that, under circumstances that are quite common in practice, using the mixed effects estimator may be suboptimal and that the use of WLS is preferable.     

Corporate Governance: A New Limit to Real Options Valuation?*

Including real options in firms ’ value raises numerous difficulties. Limitations concerning the relevance of option pricing models outside financial markets are the most salient, but carrying out a valuation implies other assumptions, especially on firms’ governance. In particular, assessing whether a real option should be included within a firm’s boundaries and how its value should be shared, is difficult. Most of these issues result from the different property rights on real options: who creates and who can exercise the option? We discuss existing answers to these difficulties and propose a matrix based on property rights to help practitioners decide whether a real option can be valued appropriately or not by real options models. We support our discussion with a case study based on an R&;D firm valuation.     

Cross-disciplinary problem-solving workshop: a pedagogical approach to anticipate ergonomist engineering design collaboration

The aims of this paper are to present concept and results of an innovative educational model approach based on ergonomics involvement in industrial project. First we present Cross disciplinary Problem solving Workshop by answering three questions:1) What is a CPW: A partnership between Universities and one or several companies, purposes of it are first to increase health, well being, companies teams competencies, and competitiveness, second to train the "IPOD generation" to include risks prevention in design. 2) How does it work? CPW allows cooperation between experience and new insight through inductive methods. This model follows the Piaget (1) philosophy linking concrete world to abstraction by a learning system associating realization and abstraction. 3) Is it successful? In order to answer this third question we will show examples of studies and models performed during CPWs.It appears that the CPWs produce visible results in companies such as new process designs, new methods, and also changes in lectures. However some less visible results remain unclear: How the company personnel evolve during and after CPW? Does CPW motivate our future engineers enough to continuously improve their skills in risk prevention and innovative design?