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 this …
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 …
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? Update: By an …
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 estimate is the value …
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.
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 what …
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, 1 month ago Modified 3 years, 2 months ago
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, 8 months ago Modified 11 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
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 …