2 resultados para Bootstrap reality check
em Universitätsbibliothek Kassel, Universität Kassel, Germany
Resumo:
Non-governmental Organisations (NGOs) have not only gained more and more relevance in the development process of Near Eastern developing societies, but they have also raised an increasing scholarly interest. The traditional civil society in the Middle East, which used to be in charge of the tribe or large families, has been altered by new groups, which are organized around new social structures, interests and goals. The number of NGOs has experienced a swift increase in number and size, and the extent of some renders them important players in the social welfare sector, both at the national and global levels. The expansion and the increasing role of NGOs worldwide since the end of the 1970s as actors in socio-economic development and in the formulation of public policies has had great influence around the globe. However, this new function is not automatically the outcome of independent activity; but rather the result of ramified relationships between the national and international environment.
Resumo:
This study analyzes the linear relationship between climate variables and milk components in Iran by applying bootstrapping to include and assess the uncertainty. The climate parameters, Temperature Humidity Index (THI) and Equivalent Temperature Index (ETI) are computed from the NASA-Modern Era Retrospective-Analysis for Research and Applications (NASA-MERRA) reanalysis (2002–2010). Milk data for fat, protein (measured on fresh matter bases), and milk yield are taken from 936,227 milk records for the same period, using cows fed by natural pasture from April to September. Confidence intervals for the regression model are calculated using the bootstrap technique. This method is applied to the original times series, generating statistically equivalent surrogate samples. As a result, despite the short time data and the related uncertainties, an interesting behavior of the relationships between milk compound and the climate parameters is visible. During spring only, a weak dependency of milk yield and climate variations is obvious, while fat and protein concentrations show reasonable correlations. In summer, milk yield shows a similar level of relationship with ETI, but not with temperature and THI. We suggest this methodology for studies in the field of the impacts of climate change and agriculture, also environment and food with short-term data.