Question

Show that the rate of convergence is infinity

score 71 · Answer 1 · 2018-01-29 14:48:19

71

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Show that the rate of convergence is infinity

Published on 29 Jan 2018 - 14:48

score 2.5k · Answer 2 · 2026-03-27 09:00:20

2.5k

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Method of moments estimator for $\theta$

Published on 27 Mar 2026 - 9:00

score 45 · Answer 3 · 2026-03-29 08:05:53

45

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Mean of experiment results is the maximum likelihood estimator only when the distribution of error is gaussian.

Published on 29 Mar 2026 - 8:05

score 54 · Answer 4 · 2018-01-29 15:31:29

54

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The value of $a$ that maximizes $g(a)?$

Published on 29 Jan 2018 - 15:31

score 62 · Answer 5 · 2018-01-29 16:22:47

62

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the maximum likelihood estimator of $p?$

Published on 29 Jan 2018 - 16:22

score 56 · Answer 6 · 2018-01-29 16:40:52

56

Views

the distribution of $\frac{(X_1 +X_2)^2}{(X_1 -X_2)^2}$

Published on 29 Jan 2018 - 16:40

score 292 · Answer 7 · 2026-03-22 20:23:26

292

Views

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

Published on 22 Mar 2026 - 20:23

score 225 · Answer 8 · 2026-03-25 12:21:18

225

Views

$X,Y \sim N(0,1)$, which is the distribution of $W = \frac X Y$?

Published on 25 Mar 2026 - 12:21

score 35 · Answer 9 · 2026-03-25 12:17:20

35

Views

Write $\mathbb P(X+Y \leq c \mid X=d)$ in terms of $f$

Published on 25 Mar 2026 - 12:17

score 430 · Answer 10 · 2018-01-29 18:59:19

430

Views

Mgf of distribution to prove sample variance is equal to expectation of sample variance

Published on 29 Jan 2018 - 18:59

score 6.3k · Answer 11 · 2026-03-26 13:51:07

6.3k

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How do I calculate $Pr (Z<1.2)$ for a standard normal random variable, using a $Z$-Table?

Published on 26 Mar 2026 - 13:51

score 47 · Answer 12 · 2026-03-25 06:04:19

47

Views

Method of Moments for $p(x) = cx^{\beta} \hspace{1cm} x \in[0,a] $

Published on 25 Mar 2026 - 6:04

score 126 · Answer 13 · 2026-03-25 04:39:40

126

Views

Asymptotic confidence interval for $X \sim U(0,a)$ with $a>0$ unknown

Published on 25 Mar 2026 - 4:39

score 789 · Answer 14 · 2026-03-23 03:04:28

789

Views

How to prove sample variance has a gamma distribution by using mgf.

Published on 23 Mar 2026 - 3:04

score 246 · Answer 15 · 2026-03-29 16:50:17

246

Views

Autocovariance of a Sinusodial Time Series

Published on 29 Mar 2026 - 16:50

List Question

Show that the rate of convergence is infinity

Method of moments estimator for $\theta$

Mean of experiment results is the maximum likelihood estimator only when the distribution of error is gaussian.

The value of $a$ that maximizes $g(a)?$

the maximum likelihood estimator of $p?$

the distribution of $\frac{(X_1 +X_2)^2}{(X_1 -X_2)^2}$

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

$X,Y \sim N(0,1)$, which is the distribution of $W = \frac X Y$?

Write $\mathbb P(X+Y \leq c \mid X=d)$ in terms of $f$

Mgf of distribution to prove sample variance is equal to expectation of sample variance

How do I calculate $Pr (Z<1.2)$ for a standard normal random variable, using a $Z$-Table?

Method of Moments for $p(x) = cx^{\beta} \hspace{1cm} x \in[0,a] $

Asymptotic confidence interval for $X \sim U(0,a)$ with $a>0$ unknown

How to prove sample variance has a gamma distribution by using mgf.

Autocovariance of a Sinusodial Time Series

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