Regarding the accuracy of our migration estimates, we should acknowledge that our experimental design violates some assumptions of the IMa method, such as the lack of population substructure and the potential existence of unsampled populations.
To improve this remainder estimate, we should carefully study the propagation of singularities.
If the penalty is linear (and symmetric with respect to over or under-estimates), we should use the median of the distribution, 332.
For a truly reliable estimate, we should wait for the Organised Crime Portfolio to report back at the end of this year, but until then, the most valid appraisals come from TransCrime.
For a truly reliable estimate, we should wait for the Organized Crime Portfolio to report back at the end of this year, but until then, the most valid appraisals come from TransCrime.
However, should we wish to improve the inferred parameter estimates, we should measure the degradation thresholds k d and k m as these are more loosely constrained.
For an unbiased estimate we should have that \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $\bar s+ \bar f_{0}= N$ \end{document} s ¯ + f ¯ 0 = N, in our case 200.
Angles for the points A 1, A 4, A 5, and A 7 should be estimated; we refer to these angles as θA 1, θA 4, θA 5, and θA 7, respectively.
To have the sparsest estimated sources, we should minimize ψ(W(f)) and we use the natural gradient search technique to find the optimum separation matrix W(f): W t + 1 ( f ) = W t ( f ) - μ ∇ ψ ( W t ( f ) ) W t H ( f ) W t ( f ) (16).
Assuming 10% loss to follow-up and a pregnancy rate (among women who plan to be pregnant) of 35%, we estimated that we should recruit at least 5000 WRA to obtain a sample of 1650 mother-infant pairs.
