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 …
What is the relation between estimator and estimate?
Feb 24, 2011 · While estimator is your data, which is also a random variable. For different types of distributions you have different types of data and thus you have a different estimate and thus …
Estimator for a binomial distribution - Cross Validated
Oct 7, 2011 · For bernoulli I can think of an estimator estimating a parameter p, but for binomial I can't see what parameters to estimate when we have n characterizing the distribution? …
Notation in statistics (parameter/estimator/estimate)
Aug 2, 2018 · We use an estimator which books usually denote by θˆ θ ^. The estimator is a random variable! Usually we seek E[θˆ] = θ E [θ ^] = θ and so on and on, anyways. An …
What is the difference between estimation and prediction?
Sep 15, 2018 · An estimator uses data to guess at a parameter while a predictor uses the data to guess at some random value that is not part of the dataset. For those who are unfamiliar with …
How to derive the least square estimator for multiple linear …
How to derive the least square estimator for multiple linear regression? Ask Question Asked 13 years, 1 month ago Modified 3 years, 2 months ago
How do I calculate the variance of the OLS estimator
How do I calculate the variance of the OLS estimator β0 β 0, conditional on x1, …, xn x 1, …, x n? Ask Question Asked 12 years, 6 months ago Modified 8 years, 1 month ago
How to show that an estimator is consistent? - Cross Validated
Oct 29, 2011 · How to show that an estimator is consistent? Ask Question Asked 14 years, 2 months ago Modified 9 years, 7 months ago
Why is sample standard deviation a biased estimator of
is a biased estimator of the SD of the population. It states that E(s2−−√) ≠ E(s2)− −−−−√ E (s 2) ≠ E (s 2). NB. Random variables are independent and each xi ∼ N(μ,σ2) x i ∼ N (μ, σ 2) My …
Efficiency of Bayesian Estimator - Cross Validated
Oct 17, 2018 · 7 In the Wikipedia article for Minimum Mean Square Error, the Bayesian estimator is referred as "asymptotically efficient" using the similar arguments of Fisher information from …