Loss-based approach to two-piece location-scale distributions with applications to dependent data

Two-piece location-scale models are used for modeling data presenting departures from symmetry. In this paper, we propose an objective Bayesian methodology for the tail parameter of two particular distributions of the above family: the skewed exponential power distribution and the skewed generalised logistic distribution. We apply the proposed objective approach to time series models and linear regression models where the error terms follow the distributions object of study. The performance of the proposed approach is illustrated through simulation experiments and real data analysis. The methodology yields improvements in density forecasts, as shown by the analysis we carry out on the electricity prices in Nordpool markets.

     

Journal evaluation in a health sciences library

This evaluation method for journals meets the library's objective for a responsible, responsive collection management practice. It provides structure, but not without regard for the unique potential addition to the collection that each journal represents. Although subject to occasional fine-tuning, this method has worked satisfactorily for two hundred journal evaluations completed over the course of several years. It is a well-tested procedure and is adaptable to most library settings, in whole or in part, regardless of size or type of collection.     

Testing Equality of Functions Across Multiple Experimental Conditions for Different Ability Levels in the IRT Context: The Case of the IPRASE TLT 2016 Survey

Social Indicators Research - In the educational field, it is common to analyze test data through item response theory models. In this context, a key role is played by item characteristic curves...     

Eco-efficient supply chain networks: development of a design framework and application to a real case study

This paper presents a supply chain network design framework that is based on multi-objective mathematical programming and that can identify ‘eco-efficient’ configuration alternatives that are both efficient and ecologically sound. This work is original in that it encompasses the environmental impact of both transportation and warehousing activities. We apply the proposed framework to a real-life case study (i.e. Lindt & Sprüngli) for the distribution of chocolate products. The results show that cost-driven network optimisation may lead to beneficial effects for the environment and that a minor increase in distribution costs can be offset by a major improvement in environmental performance. This paper contributes to the body of knowledge on eco-efficient supply chain design and closes the missing link between model-based methods and empirical applied research. It also generates insights into the growing debate on the trade-off between the economic and environmental performance of supply chains, supporting organisations in the eco-efficient configuration of their supply chains.     

Philanthropy by Decree

This article investigates the relationship among nonprofit foundations’ choice of philanthropic strategy (expressive, receptive, proactive, and collaborative) and sound governance, as measured by board capital (competencies and networks), board processes (planning, control, evaluation, and so on), and chairman power (entrenchment and tenure). Using a sample of fifty‐one Italian foundations of banking origins, this article shows that high levels of board capital, complete board processes, and chairman long tenure are positively associated with proactive and collaborative philanthropic strategies.     

Construction of non-exchangeable bivariate distribution functions

A method is given for constructing bivariate distributions functions by means of the copula functions, and, hence, it is used for obtaining distribution functions that can describe the behaviour of non–exchangeable random vectors.     

Multivariate nonparametric methods in two-way balanced designs: performances and limitations in small samples

Investigations of multivariate population are pretty common in applied researches, and the two-way crossed factorial design is a common design used at the exploratory phase in industrial applications. When assumptions such as multivariate normality and covariance homogeneity are violated, the conventional wisdom is to resort to nonparametric tests for hypotheses testing. In this paper we compare the performances, and in particular the power, of some nonparametric and semi-parametric methods that have been developed in recent years. Specifically, we examined resampling methods and robust versions of classical multivariate analysis of variance (MANOVA) tests. In a simulation study, we generate data sets with different configurations of factor''s effect, number of replicates, number of response variables under null hypothesis, and number of response variables under alternative hypothesis. The objective is to elicit practical advice and guides to practitioners regarding the sensitivity of the tests in the various configurations, the tradeoff between power and type I error, the strategic impact of increasing number of response variables, and the favourable performance of one test when the alternative is sparse. A real case study from an industrial engineering experiment in thermoformed packaging production is used to compare and illustrate the application of the various methods.     

A Note on the Compatibility of Bivariate Copulas

This article answers to a problem by Kolesárová, Mesiar, and Sempi about the class of all copulas that are compatible with two given bivariate copulas A and B. It is shown that, even if A and B are not completely dependent, the class of all copulas compatible with A and B may consist of a singleton.