Table 5.

Comparing the performance of our parameter estimates with those of the competitors listed in the first column. Contrasting statistics: ML $\to$ Maximum Likelihood, AKAI $\to$ Akaike Criterion, CsM $\to$ Cramer von Mises test. Window headings $\to$ datasets.

	Wave 1			Waves $1+2$			Waves $1+2$+Senegal
	ML	AKAI	CvM	ML	AKAI	CvM	ML	AKAI	CvM
Shift-Pareto	0.769	0.538	0.846	0.423	0.307	0.846	0.444	0.333	0.851
LogNormal	0.	0.	0.769	0.	0.	0.846	0.	0.	0.814
Weibull	0.	0.	1.	0.038	0.038	0.961	0.037	0.037	0.962
NFEWeibull	0.	0.	0.692	0.	0.	0.576	0.	0.	0.555
Exponential	0.	0.	0.692	0.	0.115	0.538	0.	0.111	0.555
Pareto	0.	0.	0.076	0.	0.	0.038	0.	0.	0.037
Tapr Pareto	0.	0.	1.	0.038	0.	0.769	0.037	0.	0.740
Trunct Pareto	0.230	0.461	1.	0.5	0.538	0.923	0.481	0.518	0.925