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Derive unbiased estimator for $\theta$ when $X_i\sim f(x\mid\theta)=\frac{2x}{\theta^2}\mathbb{1}_{(0,\theta)}(x)$

Fisher Information for Geometric Distribution

Statistical inference, MGF of sum of i.i.d. random variables

In statistics, why do you reject the null hypothesis when the p-value is less than the alpha value (the level of significance)

How to determine the number of coin tosses to identify one biased coin from another?

Finding P value

How to prove SSE and SSR are independent

Covariance for a bivariate normal distribution

Verification of Sufficiency, Completeness, MLE, UMVUE, and Method of Moments for Estimators of a certain random sample.

Is there a mathematical basis for the idea that this interpretation of confidence intervals is incorrect, or is it just frequentist philosophy?

How to derive test statistic under composite null hypothesis?

GMAT related question: If the standard deviation of $a,b$ and $c$ is $d$. What is the standard deviation of $105\%$ of $a$ ,$105b/100$ and $1.05c$?

Not Complete Statistic in Normal Distribution

Confusion in finding conditional expecation of indicator function (Lehmann-Scheffe)

Prove efficiency of this discrete uniform distribution estimator

Distribution of $\sum\limits_{i=1}^{N}X_{i}$ conditionally on $\sum\limits_{i=1}^{N}X_{i}^{2}$ for i.i.d. standard normal $X_i$s

New posts in statistical-inference

Likelihood Function for the Uniform Density $(\theta, \theta+1)$

Showing a result for simple functions

Connection between PCA and linear regression

Expected value of the size of set

Derive unbiased estimator for $\theta$ when $X_i\sim f(x\mid\theta)=\frac{2x}{\theta^2}\mathbb{1}_{(0,\theta)}(x)$

Fisher Information for Geometric Distribution

Statistical inference, MGF of sum of i.i.d. random variables

In statistics, why do you reject the null hypothesis when the p-value is less than the alpha value (the level of significance)

How to determine the number of coin tosses to identify one biased coin from another?

Finding P value

How to prove SSE and SSR are independent

Covariance for a bivariate normal distribution

Verification of Sufficiency, Completeness, MLE, UMVUE, and Method of Moments for Estimators of a certain random sample.

Is there a mathematical basis for the idea that this interpretation of confidence intervals is incorrect, or is it just frequentist philosophy?

How to derive test statistic under composite null hypothesis?

GMAT related question: If the standard deviation of $a,b$ and $c$ is $d$. What is the standard deviation of $105\%$ of $a$ ,$105b/100$ and $1.05c$?

Not Complete Statistic in Normal Distribution

Confusion in finding conditional expecation of indicator function (Lehmann-Scheffe)

Prove efficiency of this discrete uniform distribution estimator

Distribution of $\sum\limits_{i=1}^{N}X_{i}$ conditionally on $\sum\limits_{i=1}^{N}X_{i}^{2}$ for i.i.d. standard normal $X_i$s