Question

Let $Y_1,Y_2,...,Y_n$ be $n$ independent random variables such that each $Y_i \sim POI(\beta x_i) $

score 120 · Answer 1 · 2026-03-28 22:13:40

120

Views

Let $Y_1,Y_2,...,Y_n$ be $n$ independent random variables such that each $Y_i \sim POI(\beta x_i) $

Published on 28 Mar 2026 - 22:13

score 39 · Answer 2 · 2016-07-06 00:23:15

39

Views

Calculate average life time in system with inputs and observed items inside system in a given time

Published on 06 Jul 2016 - 0:23

score 296 · Answer 3 · 2016-07-14 16:52:21

296

Views

How to adjust estimation of probability according to new information

Published on 14 Jul 2016 - 16:52

score 204 · Answer 4 · 2016-07-15 13:19:39

204

Views

It's possible to generalize the Ml inequality (also call Estimation Lemma)?

Published on 15 Jul 2016 - 13:19

score 1.6k · Answer 5 · 2016-07-16 09:45:04

1.6k

Views

Lest number of terms for a partial sum to estimate sum within error

Published on 16 Jul 2016 - 9:45

score 144 · Answer 6 · 2026-03-28 12:39:20

144

Views

How to check if an estimator is expectation right?

Published on 28 Mar 2026 - 12:39

score 63 · Answer 7 · 2026-03-28 06:23:33

63

Views

Linear estimation of an exponential distribution

Published on 28 Mar 2026 - 6:23

score 41 · Answer 8 · 2026-03-28 12:33:35

41

Views

Show that an estimator is unbiased and it's variance goes towards 0? Poisson distribution

Published on 28 Mar 2026 - 12:33

score 29 · Answer 9 · 2016-07-22 00:13:51

29

Views

Knowing the rates of gain and loss, estimate the average amount.

Published on 22 Jul 2016 - 0:13

score 299 · Answer 10 · 2016-07-22 07:03:02

299

Views

Proving OLS estimator of variance

Published on 22 Jul 2016 - 7:03

score 255 · Answer 11 · 2016-07-23 01:06:16

255

Views

Bounding the absolute error of the linear approximation by $|E|\le\frac{n^2M}{2}\|\mathbf h\|^2$

Published on 23 Jul 2016 - 1:06

score 99 · Answer 12 · 2026-03-28 15:55:48

99

Views

expectation and variance of an implicit estimator

Published on 28 Mar 2026 - 15:55

score 282 · Answer 13 · 2016-08-03 17:52:18

282

Views

Find sufficient statistic for a mixed distribution

Published on 03 Aug 2016 - 17:52

score 126 · Answer 14 · 2016-08-03 21:56:08

126

Views

Why do we divide the kernel estimate function by h and also the entire equation by h?

Published on 03 Aug 2016 - 21:56

score 109 · Answer 15 · 2026-03-27 18:27:44

109

Views

Questioning the if this estimator $\min\{\ Y_1,0\}$ is unbiased and consistent, where $Y_1=\min X_k, X_k: U(0, \theta)$

Published on 27 Mar 2026 - 18:27

List Question

Let $Y_1,Y_2,...,Y_n$ be $n$ independent random variables such that each $Y_i \sim POI(\beta x_i) $

Calculate average life time in system with inputs and observed items inside system in a given time

How to adjust estimation of probability according to new information

It's possible to generalize the Ml inequality (also call Estimation Lemma)?

Lest number of terms for a partial sum to estimate sum within error

How to check if an estimator is expectation right?

Linear estimation of an exponential distribution

Show that an estimator is unbiased and it's variance goes towards 0? Poisson distribution

Knowing the rates of gain and loss, estimate the average amount.

Proving OLS estimator of variance

Bounding the absolute error of the linear approximation by $|E|\le\frac{n^2M}{2}\|\mathbf h\|^2$

expectation and variance of an implicit estimator

Find sufficient statistic for a mixed distribution

Why do we divide the kernel estimate function by h and also the entire equation by h?

Questioning the if this estimator $\min\{\ Y_1,0\}$ is unbiased and consistent, where $Y_1=\min X_k, X_k: U(0, \theta)$

Trending Questions

Popular # Hahtags

Popular Questions