Objectives: Although there is strong uptake of active or passive engagement with the cultural and creative activities as determinants of individual health and well-being, few population studies report any...
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The country-specific conditions for work and family reconciliation (family policies, labour market structures and gender norms) are believed to influence tensions between paid employment and childbearing...
This chapter gives an overview of common approaches to sensitivity analysis, with an emphasis on sampling methods. It covers variance-based sensitivity indices, Monte Carlo methods for estimating sensitivity...
SIMLAB 4.0 is a comprehensive stand-alone software package for performing global sensitivity analysis. Several sampling strategies and sensitivity measures are available. SIMLAB includes the most...
Multidimensional measures (often termed composite indicators) are popular tools in the public discourse for assessing the performance of countries on human development, perceived corruption, innovation, competitiveness...
A recent approach to surrogate modelling, called dynamic trees, uses regression trees to partition the input space, and fits simple constant or linear models in each “leaf”...
The terms of reference of the contract define two contributions: (i) a theoretical analysis addressing the epistemological challenges posed by quantitative indicators for sustainable growth (Part 1); and (ii)...
The Watts poverty index is the first distribution-sensitive poverty measure, and it was proposed in 1964 by Harold W. Watts (1964). The index is computed by dividing the poverty line...
A standard score indicates how many standard deviations a datum is above or below the population/sample mean. It is derived by subtracting the population/sample mean from an individual raw score...
The analysis of variance (ANOVA) aims at partitioning the observed variance in a particular variable into components attributable to different sources of variation. In its simplest form, ANOVA provides a statistical...