Question

$\frac {n}{θ}+\sum_{i=1}^{n}lnx_i=0$ How to get rid of that summation so I can get my θ estimator?

score 29 · Answer 1 · 2026-03-30 09:35:58

29

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$\frac {n}{θ}+\sum_{i=1}^{n}lnx_i=0$ How to get rid of that summation so I can get my θ estimator?

Published on 30 Mar 2026 - 9:35

score 784 · Answer 2 · 2026-04-02 05:02:09

784

Views

If I flip a biased coin $n$ times, what is the probability that I get a streak of $\geq m$ heads in a row at some point?

Published on 02 Apr 2026 - 5:02

score 107 · Answer 3 · 2026-03-30 09:35:47

107

Views

How to show that a histogram for observations of a discrete random variable, is its maximum-likelihood non-parametric estimation

Published on 30 Mar 2026 - 9:35

score 1.9k · Answer 4 · 2026-03-25 01:16:54

1.9k

Views

Consistency of an asymptotically linear estimator

Published on 25 Mar 2026 - 1:16

score 47 · Answer 5 · 2017-10-24 09:10:15

47

Views

use matrix diagonalization to solve specific matrix

Published on 24 Oct 2017 - 9:10

score 62 · Answer 6 · 2017-10-28 13:47:25

62

Views

Estimates on $|\prod_{i=1}^n u_i - \prod_{i=1}^n v_i|$, $u_i,v_i\in [0,1]$

Published on 28 Oct 2017 - 13:47

score 80 · Answer 7 · 2017-10-31 04:13:50

80

Views

What makes the cdf curve of a uniform distribution a constant positive slope?

Published on 31 Oct 2017 - 4:13

score 122 · Answer 8 · 2017-11-01 04:59:03

122

Views

Asymptotics of M-estimators

Published on 01 Nov 2017 - 4:59

score 64 · Answer 9 · 2026-03-27 07:20:08

64

Views

Evaluating constants of an inverse estimate

Published on 27 Mar 2026 - 7:20

score 1.3k · Answer 10 · 2026-03-25 23:38:30

1.3k

Views

Calculate risk (under squared error loss) of MSE estimator of normal variance

Published on 25 Mar 2026 - 23:38

score 55 · Answer 11 · 2017-11-05 04:50:22

55

Views

Biweight M-estimate of location and mode

Published on 05 Nov 2017 - 4:50

score 449 · Answer 12 · 2026-03-26 01:12:44

449

Views

For $X_i\sim N(\mu,\sigma^2)$, how to find the MSE of estimator: $\hat \sigma^2 = \frac 1{n+2}\sum_{i=1}^nX_i^2$.

Published on 26 Mar 2026 - 1:12

score 187 · Answer 13 · 2026-04-01 15:47:32

187

Views

"How much of the big picture have I seen already?" problem

Published on 01 Apr 2026 - 15:47

score 253 · Answer 14 · 2017-11-05 23:46:39

253

Views

Minimizing a probability

Published on 05 Nov 2017 - 23:46

score 672 · Answer 15 · 2017-11-10 23:42:00

672

Views

Finding basis functions

Published on 10 Nov 2017 - 23:42

List Question

$\frac {n}{θ}+\sum_{i=1}^{n}lnx_i=0$ How to get rid of that summation so I can get my θ estimator?

If I flip a biased coin $n$ times, what is the probability that I get a streak of $\geq m$ heads in a row at some point?

How to show that a histogram for observations of a discrete random variable, is its maximum-likelihood non-parametric estimation

Consistency of an asymptotically linear estimator

use matrix diagonalization to solve specific matrix

Estimates on $|\prod_{i=1}^n u_i - \prod_{i=1}^n v_i|$, $u_i,v_i\in [0,1]$

What makes the cdf curve of a uniform distribution a constant positive slope?

Asymptotics of M-estimators

Evaluating constants of an inverse estimate

Calculate risk (under squared error loss) of MSE estimator of normal variance

Biweight M-estimate of location and mode

For $X_i\sim N(\mu,\sigma^2)$, how to find the MSE of estimator: $\hat \sigma^2 = \frac 1{n+2}\sum_{i=1}^nX_i^2$.

"How much of the big picture have I seen already?" problem

Minimizing a probability

Finding basis functions

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