List questions from parameter-estimation

Published on 28 Mar 2026 - 10:04

107

Views

M-estimator as a quantile estimator

Published on 24 Mar 2026 - 20:31

118

Views

Convergence of $s/σ$ in probability

Published on 10 Feb 2023 - 6:52

79

Views

Finding variance of an estimator

Published on 12 Feb 2023 - 15:02

41

Views

Bayes estimators intuition: why can't we simply maximize the posterior?

Published on 13 Feb 2023 - 9:37

32

Views

Best estimate of a count from a single observation

Published on 15 Feb 2023 - 9:22

151

Views

Am I doing something wrong with showing that $n\frac{X}{n}(1-\frac{X}{n})$ is an unbiased estimator for $\mathbf{Var}(X)$?

Published on 15 Feb 2023 - 22:14

18

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Computation in the proof of asymptotic nomality how to deal with $o_p(1)$ in the denominator.

Published on 18 Feb 2023 - 5:45

32

Views

Show that parameter estimation of ${\rm Geom}(p)$ is unbiased. Am I right?

Published on 18 Feb 2023 - 7:31

91

Views

Consistent or inconsistent estimator

Published on 27 Mar 2026 - 22:59

383

Views

Consistency of estimators by Chebyshev's inequality

Published on 22 Feb 2023 - 16:56

53

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Assumption $E[X^4]<\infty$ when working with unbiasedness

Published on 22 Feb 2023 - 22:39

124

Views

Let $X_1, X_2, \ldots, X_n$ independent and identically distributed random variables, $X_i \sim U(-\theta, \theta)$ where $\theta > 0$

Published on 23 Feb 2023 - 0:06

48

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Why do we use the estimates $\frac{n}{n-1}\sigma _s^2$ for the variance?

Published on 01 Mar 2023 - 8:53

28

Views

No UMVU estimator for $g(\theta)=\theta+\frac{1}{2}$

Published on 02 Mar 2023 - 11:26

List Question

Likelihood of the parameter or the data?

M-estimator as a quantile estimator

Convergence of $s/σ$ in probability

Finding variance of an estimator

Bayes estimators intuition: why can't we simply maximize the posterior?

Best estimate of a count from a single observation

Am I doing something wrong with showing that $n\frac{X}{n}(1-\frac{X}{n})$ is an unbiased estimator for $\mathbf{Var}(X)$?

Computation in the proof of asymptotic nomality how to deal with $o_p(1)$ in the denominator.

Show that parameter estimation of ${\rm Geom}(p)$ is unbiased. Am I right?

Consistent or inconsistent estimator

Consistency of estimators by Chebyshev's inequality

Assumption $E[X^4]<\infty$ when working with unbiasedness

Let $X_1, X_2, \ldots, X_n$ independent and identically distributed random variables, $X_i \sim U(-\theta, \theta)$ where $\theta > 0$

Why do we use the estimates $\frac{n}{n-1}\sigma _s^2$ for the variance?

No UMVU estimator for $g(\theta)=\theta+\frac{1}{2}$

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