What is the difference between an estimator and a statistic?
An "estimator" or "point estimate" is a statistic (that is, a function of the data) that is used to infer the value of an unknown parameter in a statistical model. So a statistic refers to the data itself and a …
How exactly did statisticians agree to using (n-1) as the unbiased ...
How exactly did statisticians agree to using (n-1) as the unbiased estimator for population variance without simulation? Ask Question Asked 11 years, 11 months ago Modified 1 year, 2 months ago
What is the difference between a consistent estimator and an unbiased ...
An estimator is unbiased if, on average, it hits the true parameter value. That is, the mean of the sampling distribution of the estimator is equal to the true parameter value.
How to derive the least square estimator for multiple linear regression?
How to derive the least square estimator for multiple linear regression? Ask Question Asked 13 years, 4 months ago Modified 3 years, 6 months ago
Maximum likelihood method vs. least squares method
What is the main difference between maximum likelihood estimation (MLE) vs. least squares estimaton (LSE) ? Why can't we use MLE for predicting $y$ values in linear ...
How do I calculate the variance of the OLS estimator $\beta_0 ...
I know that $$\\hat{\\beta_0}=\\bar{y}-\\hat{\\beta_1}\\bar{x}$$ and this is how far I got when I calculated the variance: \\begin{align*} Var(\\hat{\\beta_0}) & ...
Assumptions to derive OLS estimator - Cross Validated
Apr 30, 2015 · You can always compute the OLS estimator, apart from the case when you have perfect multicollinearity. In this case, you do have perfect multilinear dependence in your X matrix. …
How to derive the ridge regression solution? - Cross Validated
16 I have recently stumbled upon the same question in the context of P-Splines and as the concept is the same I want to give a more detailed answer on the derivation of the ridge estimator. We start with …
How to find an unbiased estimator? - Cross Validated
Presumably, you are you looking for an unbiased estimator of $\theta$ and not an estimator of $0$ (as stated). The latter is a known constant with the trivially unbiased estimator $\delta (x)=0$.
Why is sample standard deviation a biased estimator of $\\sigma$?
Why is sample standard deviation a biased estimator of $\sigma$? Ask Question Asked 14 years, 11 months ago Modified 1 year, 1 month ago