Higher order statistics for the κ–μ distribution

Closed-form expressions for the level crossing rate and average fade duration of a kappa–mu distributed fading signal envelope are presented. The proposed equations are validated by reduction to known Rice, Rayleigh and Nakagami-m special cases. They are also compared with measured data obtained from field trials analysing human body to body radio channels and shown to provide good agreement.

The structure of the Statistics Anxiety Rating Scale: A confirmatory factor analysis using UK psychology students

This study aimed to examine the structure of the statistics anxiety rating scale. Responses from 650 undergraduate psychology students throughout the UK were collected through an on-line study. Based on previous research three different models were specified and estimated using confirmatory factor analysis. Fit indices were used to determine if the model fitted the data and a likelihood ratio difference test was used to determine the best fitting model. The original six factor model was the best explanation of the data. All six subscales were intercorrelated and internally consistent. It was concluded that the statistics anxiety rating scale was found to measure the six subscales it was designed to assess in a UK population.

Fault reconstruction in linear dynamic systems using multivariate statistics

Treasure et al. (2004) recently proposed a new sub space-monitoring technique, based on the N4SID algorithm, within the multivariate statistical process control framework. This dynamic-monitoring method requires considerably fewer variables to be analysed when compared with dynamic principal component analysis (PCA). The contribution charts and variable reconstruction, traditionally employed for static PCA, are analysed in a dynamic context. The contribution charts and variable reconstruction may be affected by the ratio of the number of retained components to the total number of analysed variables. Particular problems arise if this ratio is large and a new reconstruction chart is introduced to overcome these. The utility of such a dynamic contribution chart and variable reconstruction is shown in a simulation and by application to industrial data from a distillation unit.

Improved reliability in diagnosing faults using multivariate statistics

This paper analyses multivariate statistical techniques for identifying and isolating abnormal process behaviour. These techniques include contribution charts and variable reconstructions that relate to the application of principal component analysis (PCA). The analysis reveals firstly that contribution charts produce variable contributions which are linearly dependent and may lead to an incorrect diagnosis, if the number of principal components retained is close to the number of recorded process variables. The analysis secondly yields that variable reconstruction affects the geometry of the PCA decomposition. The paper further introduces an improved variable reconstruction method for identifying multiple sensor and process faults and for isolating their influence upon the recorded process variables. It is shown that this can accommodate the effect of reconstruction, i.e. changes in the covariance matrix of the sensor readings and correctly re-defining the PCA-based monitoring statistics and their confidence limits. (c) 2006 Elsevier Ltd. All rights reserved.

'Democratic Transition, Judicial Accountability and Judicialisation of Politics in Africa: The Nigerian Experience'

Purpose – This paper aims to examine the growing incidence of judicialisation of politics in Nigeria’s democratisation experience against the backdrop of questionable judicial accountability. Design/methodology/approach – The article draws on legal and political theory as well as comparative law perspectives. Findings – The judiciary faces a daunting task in deepening democracy and (re) instituting the rule of law. The formidable challenges derive in part from structural problems within the judiciary, deficient accountability credentials and the complexities of a troubled transition. Practical implications – Effective judicial mediation of political transition requires a transformed and accountable judiciary. Originality/value – The article calls attention to the need for judicial accountability as a cardinal and integral part of political transitions. Keywords Democracy, Politics, Law, Nigeria, Africa Paper type Viewpoint

'Calling the Judiciary to Account for the Past: Transitional Justice and Judicial Accountability in Nigeria'

Institutional and individual accountability is an important feature of societies in transition from conflict or authoritarian rule. The imperative of accountability has both normative and transformational underpinnings in the context of restoration of the rule of law and democracy. This article argues a case for extending the purview of truth-telling processes to the judiciary in postauthoritarian contexts. The driving force behind the inquiry is the proposition that the judiciary as the third arm of government at all times participates in governance. To contextualize the argument, I focus on judicial governance and accountability within the paradigm of Nigeria’s transition to democracy after decades of authoritarian military rule.

The role of previous experience and attitudes toward statistics in statistics assessment outcomes among undergraduate psychology students

Previous research has demonstrated that students’ cognitions about statistics are related to their performance in statistics assessments. The purpose of this research is to examine the nature of the relationships between undergraduate psychology students’ previous experiences of maths, statistics and computing; their attitudes toward statistics; and assessment on a statistics course. Of the variables examined, the strongest predictor of assessment outcome was students’ attitude about their intellectual knowledge and skills in relation to statistics at the end of the statistics curriculum. This attitude was related to students’ perceptions of their maths ability at the beginning of the statistics curriculum. Interventions could be designed to change such attitudes with the aim of improving students’ learning of statistics.