A nonparametric random coefficient approach for life expectancy growth using a hierarchical mixture likelihood model with application to regional data from North Rhine-Westphalia (Germany)

Table 2 Model evaluation for men and women, J = 1, …, 10

J	β		σ ²		BIC		BIC ₂
	Men	Women	Men	Women	Men	Women	Men	Women
1	0.2560	0.1673	0.8969	0.5147	1503.98	1497.21	1513.12	1506.34
2	0.2560	0.1673	0.4407	0.2593	1499.24	1359.64	1514.46	1374.86
3	0.2560	0.1673	0.3079	0.2088	1455.63	1294.24	1476.94	1315.56
4	0.2560	0.1673	0.2651	0.1882	1434.90	1264.26	1462.30	1291.66
5	0.2560	0.1673	0.2308	0.1760	1396.11	1246.16	1429.60	1279.65
6	0.2560	0.1673	0.2114	0.1655	1369.02	1239.95	1408.60	1279.53
7	0.2560	0.1673	0.2045	0.1594	1364.20	1232.36	1409.87	1278.02
8	0.2560	0.1673	0.2014	0.1566	1365.88	1229.81	1417.63	1281.57
9	0.2560	0.1673	0.2014	0.1547	1373.86	1232.48	1431.70	1290.33
10	0.2560	0.1673	0.2012	0.1545	1381.61	1240.11	1445.55	1304.05

ISSN: 1471-2288