In this paper we construct thirteen different types of composite indices by linear combination of indicator variables (with and without outliers/data corruption). Weights of different indicator variables are obtained by maximization of the sum of squared (and, alternatively, absolute)...

Our objective in this paper is to compare the performance of the Differential Evolution (DE) and the Repulsive Particle Swarm (RPS) methods of global optimization. To this end, some relatively difficult test functions have been chosen. These functions are: Perm, Power-Sum, Bukin, Zero-Sum,...

Logarithmic spirals are abundantly observed in nature. Gastropods (such as nautilus, cowie, grove snail, thatcher, etc.) in the mollusca phylum have spiral shells, mostly exhibiting logarithmic spirals vividly. Spider webs show a similar pattern. The low-pressure area over Iceland and the...

This chapter offers a primer on poverty, inequality, and vulnerability analysis and a guide to resources on this topic. It is written for decision makers who want to define the type of information they need to monitor poverty reduction and make appropriate policy decisions and for the technical...

Guinea-Bissau endured a major conflict in 1998 and has suffered from persistent political instability since independence. After a brief review of indicators of governance in Guinea-Bissau and recent political developments, the objective of this Chapter is to provide results from a recent survey...

In this paper we compare the performance of the Differential Evolution (DE) and the Repulsive Particle Swarm (RPS) methods of global optimization. To this end, seventy test functions have been chosen. Among these test functions, some are new while others are well known in the literature; some are...

Given the poor economic performance of Guinea-Bissau over the last few years, including a severe recession toward the end of 2002, poverty is likely to be high and to have risen in recent years even compared to its high postconflict level. The first objective of this chapter is to estimate the...

The classical canonical correlation analysis is extremely greedy to maximize the squared correlation between two sets of variables. As a result, if one of the variables in the dataset-1 is very highly correlated with another variable in the dataset-2, the canonical correlation will be very high...

This chapter offers a primer on poverty, inequality, and vulnerability analysis and a guide to resources on this topic. It is written for decision makers who want to define the type of information they need to monitor poverty reduction and make appropriate policy decisions and for the technical...

This paper shows that in Belgium, programs to prevent electricity cuts among the poor often do not reach the poorest. This is less because the poorest cannot benefit from the programs (if they apply, they almost always are granted benefits) than because they often fail to apply for the programs....