Posting on our talk point on the MDG summit, SianTLM says: Since 600 million people in the world have a disability and one billion are affected by neglected tropical diseases, the fact that these two groups are not mentioned in any of the eight MDGs, the 18 targets or the 48 indicators, means lack of progress is not surprising.
To describe the distributions of the values of five learning environment indicators, means, standard deviations and coefficients of variation were calculated.
The fact that the EWI data appear systematically as part of other composite indicators means that the very significant decisions taken by the World Bank not to use EWI for aggregating it with other indicators or for ranking countries are disregarded by the IMD, WEF, and Fraser.
22 However, the absence of relevant indicators means that pay for performance incentives do not encourage recording or reward important aspects of care for vulnerable older people.
But precisely what the goals and their accompanying targets and indicators mean to ordinary Ghanaians is harder to gauge.
Among major indicator types, biotic indicators had the highest rigor scores (mean = 44, range 20 79), followed by indicators of chemical/physical characteristics (mean = 36, range 16 56), landscape condition (mean = 31, range 24 37), and hydrology/geomorphology indicators (mean = 21, range 4 52).
Table 2 Mean scores of quality indicators in health facilities (n = 52) Mean scores 2nd assessment (2014) 1st assessment (2013) p-value Quality indicators Mean (SD b Mean (SD) Mean diff.
The accuracy of the candidate correlations are performed in terms of the two widely used statistical indicators, mean bias and root mean square errors; standard deviation, standard error and F-test, were also introduced.
In this paper, three indicators: mean absolute error (MAE), mean absolute percentage error (MAPE) and root-mean square error (RMSE) are adopted to assess the forecast accuracy of each model, respectively.
Four error indicators, mean absolute error (MAE), mean squared error (MSE), mean absolute percentage error (MAPE), and root mean squared error (RMSE), are used for the evaluation and to rank the performance of the hybrid models, which are computed using the following equations.
To evaluate the prediction accuracy of automatic ARIMA modeling-based data aggregation scheme, we measure the prediction error and investigate the following three prediction accuracy indicators:mean squared error (MSE), mean absolute error (MAE), and mean absolute percentage error (MAPE), respectively.
