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Table 3 Bivariate estimates for \(\hat {\pi }_{i,j}, i=1,2, \cdots, 6, j=1,2,\cdots, 6,\) corresponding to example 3

From: Nonparametric rank based estimation of bivariate densities given censored data conditional on marginal probabilities

i/j

r t =1

r t =2

r t =3

r t =4

r t =5

r t =6

\(\hat {\pi }_{i,.}\)

\(\delta ^{x}_{r_{s_{i}}}\)

r s =1

1/6

0

0

0

0

0

1/6

1

r s =2

0

0

0

0

0

0

0

0

r s =3

0

0

0

5/24

0

0

5/24

1

r s =4

0

0

0

0

0

0

0

0

r s =5

0

0

0

0

0

0

0

0

r s =6

0

0

0

5/72

0

5/9

5/8

1

\(\hat {\pi }_{.,j}\)

1/6

0

0

5/18

0

5/9

1

 

\(\delta ^{y}_{r_{t_{j}}}\)

1

0

0

1

0

1

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