List questions from order-statistics

Published on 21 Mar 2015 - 0:30

25

Views

showing $E(X_{(i)}| \sum_{i=1}^5 X_i)=1.8E(Z_{(i)})$

Published on 24 Mar 2015 - 19:05

66

Views

Use of binomial coefficient in order statistics

Published on 01 Apr 2015 - 11:35

65

Views

fair distribution of table tennis players in roster

Published on 13 Apr 2015 - 22:51

3.2k

Views

The maximum and minimum of five independent uniform random variables

Published on 20 Apr 2015 - 2:17

352

Views

+conditional density of sum of random variables

Published on 23 Apr 2015 - 12:48

1k

Views

Order statistics when variables have different distributions

Published on 27 Apr 2015 - 20:38

240

Views

Distribution of non-identical exponential order statistics

Published on 30 Apr 2015 - 17:12

1.5k

Views

Sum of order statistics

Published on 11 May 2015 - 13:01

126

Views

Conditional distribution of the sum of k, independent ordered draws

Published on 11 May 2015 - 13:56

186

Views

Probability ( kth order statistics <x , (k+1)th order stat >x)

Published on 13 May 2015 - 8:48

793

Views

Probability of being highest OR second highest draw from a distribution

Published on 16 May 2015 - 21:01

117

Views

Probability calculation involving order statistics

Published on 30 May 2015 - 5:02

1.1k

Views

Sampling distribution of sample trimmed (truncated) mean

Published on 03 Jun 2015 - 11:36

2.2k

Views

Difference between the largest and second largest observations from a sample of iid normal variables

Published on 04 Jun 2015 - 14:04

List Question

How can I can calculate the CDF of the random variable?

showing $E(X_{(i)}| \sum_{i=1}^5 X_i)=1.8E(Z_{(i)})$

Use of binomial coefficient in order statistics

fair distribution of table tennis players in roster

The maximum and minimum of five independent uniform random variables

+conditional density of sum of random variables

Order statistics when variables have different distributions

Distribution of non-identical exponential order statistics

Sum of order statistics

Conditional distribution of the sum of k, independent ordered draws

Probability ( kth order statistics <x , (k+1)th order stat >x)

Probability of being highest OR second highest draw from a distribution

Probability calculation involving order statistics

Sampling distribution of sample trimmed (truncated) mean

Difference between the largest and second largest observations from a sample of iid normal variables

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