Influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes

In this paper, we propose a flexible cure rate survival model by assuming that the number of competing causes of the event of interest follows the Negative Binomial distribution and the time to event follows a Weibull distribution. Indeed, we introduce the Weibull-Negative-Binomial (WNB) distribution, which can be used in order to model survival data when the hazard rate function is increasing, decreasing and some non-monotonous shaped. Another advantage of the proposed model is that it has some distributions commonly used in lifetime analysis as particular cases. Moreover, the proposed model includes as special cases some of the well-know cure rate models discussed in the literature. We consider a frequentist analysis for parameter estimation of a WNB model with cure rate. Then, we derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes and present some ways to perform global influence analysis. Finally, the methodology is illustrated on a medical data.     

Dynamic Updating of Labour Force Estimates: JARES

Abstract. In this paper a new algorithm is proposed in order to produce an automatic dynamic compound estimator of the labour force based on an interactive scheme. The proposed algorithm, JARES, is based on the probability estimator of Jaynes based on the notion of maximum entropy of a given probability distribution with a constraint on the average of an external information. The iterative scheme is based on the solution of a set of linear equations which represent the algebraic relationships between the weights and the estimates.     

Integrating strategic planning and performance management in universities: a multiple case-study analysis

Journal of Management and Governance - Over time, public universities have been involved in a process of modernisation based on a new concept of governance and managerial methods for increasing...     

Food Expensiveness in Scotland's Remote Areas: An Analysis of Household Food Purchases☆

The purpose of this paper is to investigate whether consumers in Scotland's remote areas suffer from food prices that are higher than the average national prices (i.e., whether a “remoteness premium” exists). The question has been raised by several organizations in those communities looking at the high prices in local stores. This paper provides a new perspective using actual purchasing prices of a sample of 5,252 households in Scotland for 2017 and 2018. In this way, households' ability to shop for lower prices is considered, unlike in previous studies. An expensiveness index was computed to measure the expensiveness of food at household level and control for differences in quality. It showed that consumers in remote areas pay a small premium (0.3 to 0.4 percent) with respect to average prices, which is statistically significant but economically not relevant. To understand the effect of several factors, AHEI was regressed on a number of explanatory variables including local area characteristics and household demographics and consumers' shopping strategy. The results were used to simulate three hypothetical scenarios related to impact of changes in the population's age, access to discount stores, and social deprivation on food expensiveness.     

Occupational preferences and the quality of life

This paper focuses on the theoretical and empirical aspects of occupational choice by examining the structure of individual preferences expressed in terms of abstract characteristics. Both verbal and quantitative models were successfully tested, and a rough upper limit was set on the ability of individuals to specify their quality-of-life technology. The study was too restrictive to permit general inferences concerning the quality of life of particular occupations. However, it may be concluded from the limited empirical findings that the qualitative model captured career-living preferences almost as consistently as did the highly structured quantitative approach. The experiments extracted subjects' cognitive structures for career-living stiuations in all the richness and generality permitted by verbal expression. Although more costly to determine, such qualitative information is of considerable potential benefit to policy makers, ect., and equivalent knowledge cannot be obtained from numerical representations.     

Brazil and the Shifting Consensus on Development Co‐operation: Salutary Diversions from the ‘Aid‐effectiveness’ Trail?

Emerging economies emphasise horizontality and mutual opportunity in their relationship with developing countries, promising an alternative to the failings of traditional North‐South co‐operation. This article draws on research on Brazil's technical co‐operation and its health dimension to compare the Brazilian model with established aid‐effectiveness' principles and to discuss the appropriateness of the latter as standards against which to appraise emerging donors' co‐operation. The analysis shows that, despite progress towards greater dialogue between traditional and emerging donors, the ‘aid‐effectiveness’ framework still falls short of capturing the idiosyncrasies of South‐South co‐operation and therefore offers an incomplete international standard on how best to conduct development co‐operation.