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Table 5 Maximum posterior classification (MAP) for women, J = 7

From: 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)

Region

Name

Class

e .1

e .2

e .3

e .4

e .5

e .6

e .7

1

Düsseldorf

3

0

0

0.98

0.02

0

0

0

2

Duisburg

2

0

1

0

0

0

0

0

3

Essen

3

0

0.05

0.95

0

0

0

0

4

Krefeld

4

0

0

0.01

0.99

0

0

0

5

Mönchengladbach

2

0

1

0

0

0

0

0

6

Mülheim a.d. Ruhr

4

0

0

0

1

0

0

0

7

Oberhausen

2

0

1

0

0

0

0

0

8

Remscheid

3

0

0

1

0

0

0

0

9

Solingen

4

0

0

0

0.96

0.04

0

0

10

Wuppertal

4

0

0

0.12

0.88

0

0

0

11

Kleve

3

0

0

1

0

0

0

0

12

Mettmann

5

0

0

0

0

1

0

0

13

Neuss

5

0

0

0

0

1

0

0

14

Viersen

3

0

0

0.98

0.02

0

0

0

15

Wesel

4

0

0

0.13

0.87

0

0

0

16

Aachen (city)

5

0

0

0

0

1

0

0

17

Bonn

7

0

0

0

0

0

0

1

18

Köln

3

0

0

0.88

0.12

0

0

0

19

Leverkusen

5

0

0

0

0

1

0

0

20

Aachen (rural)

3

0

0

1

0

0

0

0

21

Düren

3

0

0

0.97

0.03

0

0

0

22

Erftkreis

3

0

0

0.83

0.17

0

0

0

23

Euskirchen

3

0

0

1

0

0

0

0

24

Heinsberg

3

0

0

0.79

0.21

0

0

0

25

Oberbergischer Kreis

4

0

0

0

1

0

0

0

26

Rheinisch-Bergischer Kreis

6

0

0

0

0

0

1

0

27

Rhein-Sieg-Kreis

5

0

0

0

0

0.74

0.26

0

28

Bottrop

3

0

0.01

0.99

0

0

0

0

29

Gelsenkirchen

1

1

0

0

0

0

0

0

30

Münster

7

0

0

0

0

0

0

1

31

Borken

5

0

0

0

0

0.98

0.02

0

32

Coesfeld

6

0

0

0

0

0

1

0

33

Recklinghausen

2

0

0.94

0.06

0

0

0

0

34

Steinfurt

6

0

0

0

0

0

1

0

35

Warendorf

6

0

0

0

0

0.44

0.56

0

36

Bielefeld

6

0

0

0

0

0

1

0

37

Gütersloh

6

0

0

0

0

0

1

0

38

Herford

6

0

0

0

0

0

1

0

39

Höxter

6

0

0

0

0

0.09

0.91

0

40

Lippe

6

0

0

0

0

0

1

0

41

Minden-Lübbecke

6

0

0

0

0

0.01

0.99

0

42

Paderborn

6

0

0

0

0

0.02

0.98

0

43

Bochum

3

0

0

1

0

0

0

0

44

Dortmund

2

0

1

0

0

0

0

0

45

Hagen

4

0

0

0

1

0

0

0

46

Hamm

4

0

0

0.27

0.73

0

0

0

47

Herne

2

0

1

0

0

0

0

0

48

Ennepe-Ruhr-Kreis

4

0

0

0

1

0

0

0

49

Hochsauerlandkreis

5

0

0

0

0

1

0

0

50

Märkischer Kreis

3

0

0

1

0

0

0

0

51

Olpe

5

0

0

0

0

0.84

0.16

0

52

Siegen-Wittgenstein

5

0

0

0

0.06

0.94

0

0

53

Soest

4

0

0

0.32

0.68

0

0

0

54

Unna

4

0

0

0.07

0.93

0

0

0