List questions from order-statistics

Published on 22 Mar 2026 - 23:04

54

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Fermi/Bose gases

Published on 22 Mar 2026 - 12:30

244

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Calculating integral using pdf's $\int_0^1x^r(1-x)^{n-r}dx$

Published on 23 Mar 2026 - 2:40

180

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Expectation of sample median, general uniform case

Published on 22 Mar 2026 - 18:38

104

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Distribution of the maximum of independent RV

Published on 19 Mar 2026 - 22:23

50

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Order statistics, unclear derivation of the distribution function, uniform df

Published on 22 Mar 2026 - 21:03

876

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find joint distribution $\min (X,Y)$ and $W$, where W is a discrete distribution

Published on 23 Mar 2026 - 4:55

68

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Prove that regression beta of order statistics converges to 1?

Published on 19 Mar 2026 - 23:25

203

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Probability based on position

Published on 22 Mar 2026 - 17:51

76

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Understanding functional equation for order statistics

Published on 23 Mar 2026 - 0:15

292

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Let $X_1, \ldots , X_n$ be a set of independent and identically distributed continuous random variables.

Published on 22 Mar 2026 - 20:23

144

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How to find approximation of variance of $i^\text{th}$ order statistic

Published on 25 Mar 2026 - 3:02

360

Views

Let $X_1$, $X_2$, $X_3$ be i.i.d. continuous random variables from Exponential Distribution.

Published on 20 Mar 2026 - 18:21

51

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Order Statistics and Functions of Random Variables

Published on 23 Mar 2026 - 5:48

64

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Distribution of the Range of a Random Sample. (Sheldon Ross: A first Course in Probability)

Published on 22 Mar 2026 - 15:52

List Question

What does it mean to say that one random variable is "greater" than another?

Fermi/Bose gases

Calculating integral using pdf's $\int_0^1x^r(1-x)^{n-r}dx$

Expectation of sample median, general uniform case

Distribution of the maximum of independent RV

Order statistics, unclear derivation of the distribution function, uniform df

find joint distribution $\min (X,Y)$ and $W$, where W is a discrete distribution

Prove that regression beta of order statistics converges to 1?

Probability based on position

Understanding functional equation for order statistics

Let $X_1, \ldots , X_n$ be a set of independent and identically distributed continuous random variables.

How to find approximation of variance of $i^\text{th}$ order statistic

Let $X_1$, $X_2$, $X_3$ be i.i.d. continuous random variables from Exponential Distribution.

Order Statistics and Functions of Random Variables

Distribution of the Range of a Random Sample. (Sheldon Ross: A first Course in Probability)

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