Question

Which distribution to use

score 25 · Answer 1 · 2026-03-25 18:45:02

25

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Which distribution to use

Published on 25 Mar 2026 - 18:45

score 37 · Answer 2 · 2018-09-14 09:56:39

37

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Understanding p-value and its relation with the value $\alpha$ used in tests

Published on 14 Sep 2018 - 9:56

score 43 · Answer 3 · 2018-09-14 15:46:47

Reasoning behind the statement 'Consistency is a property of a sequence of estimators rather than one point estimator"

score 1.5k · Answer 4 · 2026-03-25 14:26:49

1.5k

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how to find the distribution of the least square estimator $\beta$?

Published on 25 Mar 2026 - 14:26

score 100 · Answer 5 · 2018-09-22 19:12:57

100

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Limiting distribution of $T_n=\frac{\sum_{i=1}^n(2X_i−n)}{n}−3$ where $f_k(x) =\frac{x^k}{k!}e^{−x}I_{(0,\infty)}(x)$

Published on 22 Sep 2018 - 19:12

score 25 · Answer 6 · 2018-09-23 03:27:15

25

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Show that E(Y | X) = E(E(Y | X, W) | X). The right hand side may sometimes also be written as E(E(Y | X, W) | X) = E(E(Y | W) | X).

Published on 23 Sep 2018 - 3:27

score 1.9k · Answer 7 · 2026-03-25 21:45:49

1.9k

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Most powerful test for discrete uniform

Published on 25 Mar 2026 - 21:45

score 48 · Answer 8 · 2018-09-23 15:39:01

48

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Is it possible that probability of occuring intersection of two events will be greater than probability of occuring each of them?

Published on 23 Sep 2018 - 15:39

score 42 · Answer 9 · 2018-09-23 20:00:31

42

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Derived parameter instead of parameter estimation

Published on 23 Sep 2018 - 20:00

score 86 · Answer 10 · 2026-03-25 12:26:10

86

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Variance of a sum of random variables with overlapping domains

Published on 25 Mar 2026 - 12:26

score 152 · Answer 11 · 2026-03-26 01:01:22

152

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Log predictive density asmptotically in predictive information criteria for Bayesian models

Published on 26 Mar 2026 - 1:01

score 2.2k · Answer 12 · 2026-03-25 11:52:49

2.2k

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Asymptotic Normality of MLE Poisson Parameter (Lambda)

Published on 25 Mar 2026 - 11:52

score 88 · Answer 13 · 2026-03-25 14:18:24

88

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Sequential Hypothesis Test

Published on 25 Mar 2026 - 14:18

score 147 · Answer 14 · 2018-09-29 04:22:43

147

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Finding $E\left(\frac{X_1 + X_2}{2}\mid X_1+\cdots+X_n=y_1\right)$ where $X_i$'s are i.i.d Binomial$(1,\theta)$

Published on 29 Sep 2018 - 4:22

score 907 · Answer 15 · 2026-03-25 04:46:37

907

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Prove $(\sum_{i=1}^{n}X_{i},\sum_{i=1}^{n}X_{i}^{2})$ is not a complete statistic for $N(\mu,\mu^2)$ distribution

Published on 25 Mar 2026 - 4:46

List Question

Which distribution to use

Understanding p-value and its relation with the value $\alpha$ used in tests

Reasoning behind the statement 'Consistency is a property of a sequence of estimators rather than one point estimator"

how to find the distribution of the least square estimator $\beta$?

Limiting distribution of $T_n=\frac{\sum_{i=1}^n(2X_i−n)}{n}−3$ where $f_k(x) =\frac{x^k}{k!}e^{−x}I_{(0,\infty)}(x)$

Show that E(Y | X) = E(E(Y | X, W) | X). The right hand side may sometimes also be written as E(E(Y | X, W) | X) = E(E(Y | W) | X).

Most powerful test for discrete uniform

Is it possible that probability of occuring intersection of two events will be greater than probability of occuring each of them?

Derived parameter instead of parameter estimation

Variance of a sum of random variables with overlapping domains

Log predictive density asmptotically in predictive information criteria for Bayesian models

Asymptotic Normality of MLE Poisson Parameter (Lambda)

Sequential Hypothesis Test

Finding $E\left(\frac{X_1 + X_2}{2}\mid X_1+\cdots+X_n=y_1\right)$ where $X_i$'s are i.i.d Binomial$(1,\theta)$

Prove $(\sum_{i=1}^{n}X_{i},\sum_{i=1}^{n}X_{i}^{2})$ is not a complete statistic for $N(\mu,\mu^2)$ distribution

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