The following results were obtained from a survival study, using the Product-Limit estimator: Ŝ(1) t 17 0.957 0.0149 25 0.888 0.0236 32 0.814 0.0298 36 0.777 0.0321 39 0.729 0.0348 42 0.680 0.0370 44 0.659 0.0378 47 0.558 0.0418 50 0.360 0.0470 54 0.293 0.0456 56 0.244 0.0440 57 0.187 0.0420 59 0.156 0.0404 62 0.052 0.0444

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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claims using Bühlmann-Straub credibility.
(A)
2.0
(B)
2.2
(C)
2.4
(D)
2.6
(E)
2.8
The following results were obtained from a survival study, using the Product-Limit estimator:
Ŝ(1)
t
V
17
0.957
0.0149
25
0.888
0.0236
32
0.814
0.0298
36
0.777
0.0321
39
0.729
0.0348
42
0.680
0.0370
44
0.659
0.0378
47
0.558
0.0418
50
0.360
0.0470
54
0.293
0.0456
56
0.244
0.0440
57
0.187
0.0420
59
0.156
0.0404
62
0.052
0.0444
Determine the lower limit of the 95% linear confidence interval for x 75, the 75h
percentile
of the survival distribution.
Transcribed Image Text:claims using Bühlmann-Straub credibility. (A) 2.0 (B) 2.2 (C) 2.4 (D) 2.6 (E) 2.8 The following results were obtained from a survival study, using the Product-Limit estimator: Ŝ(1) t V 17 0.957 0.0149 25 0.888 0.0236 32 0.814 0.0298 36 0.777 0.0321 39 0.729 0.0348 42 0.680 0.0370 44 0.659 0.0378 47 0.558 0.0418 50 0.360 0.0470 54 0.293 0.0456 56 0.244 0.0440 57 0.187 0.0420 59 0.156 0.0404 62 0.052 0.0444 Determine the lower limit of the 95% linear confidence interval for x 75, the 75h percentile of the survival distribution.
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