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It can get a bit confusing! The estimate is the value obtained from a sample. The estimator, as used in statistics, is the method used. There's one more, the estimand, which is the population parameter. If we have an unbiased estimator, then after sampling many times, or with a large sample, we should have an estimate which is close to the estimand. I will give you an example. I have a sample of 5 numbers and I take the average. The estimator is taking the average of the sample. It is the estimator of the mean of the population. The average = 4 (for example), this is my estmate.
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Difference between estimate estimator?
I think, the estimate is a numerical value, wile the estimator is a function or operator, which can be generate more estimates according to some factors. For example (xbar) is estimator for (meu), which can be various when the sample size in various, the value that will be produced is an (estimate), but (xbar) is estimator.
What is the best estimator of population mean?
The best estimator of the population mean is the sample mean. It is unbiased and efficient, making it a reliable estimator when looking to estimate the population mean from a sample.
What is the formal term used for a insurance person who estimate damages?
An "estimator"
Are free income tax estimators as good as paid estimators?
Yes, a free income tax estimator can be as good as a paid income tax estimator. A tax estimator just allows you to have an estimate of your tax return.
Which of the cognitive skills in thinking has to do with your ability to differentiate estimate and infer ideas and concepts?
Evaluation has to do with the ability to differentiate, estimate, and infer ideas and concepts.
What are the properties of good estimators?
There are four main properties associated with a "good" estimator. These are: 1) Unbiasedness: the expected value of the estimator (or the mean of the estimator) is simply the figure being estimated. In statistical terms, E(estimate of Y) = Y. 2) Consistency: the estimator converges in probability with the estimated figure. In other words, as the sample size approaches the population size, the estimator gets closer and closer to the estimated. 3) Efficiency: The estimator has a low variance, usually relative to other estimators, which is called relative efficiency. Otherwise, the variance of the estimator is minimized. 4) Robustness: The mean-squared errors of the estimator are minimized relative to other estimators.
What is the purpose of a closing cost estimator?
A Closing Cost Estimator or Calculator is used to estimate your total closing expenses based on the information you provide into the tool. Many banks and financial institutions provide the tool.
Which of the cognitive skills in critical thinking has to do with the ability to differentiate estimate and infer ideas and concepts?
Evaluation has to do with the ability to differentiate, estimate, and infer ideas and concepts.
Which of the cognitives skills in critical thinking has to do with your ability to differentiate estimate and infer ideas and concepts?
Evaluation has to do with the ability to differentiate, estimate, and infer ideas and concepts.
Which of the cognitive skills in critical thinking has to do with your ability to differentiate estimate and infer ideas and concepts.?
Evaluation has to do with the ability to differentiate, estimate, and infer ideas and concepts.
Which of the cognitive skills in critical thinking has to do with your ability to differentiate estimate and infer ideas and concept?
Evaluation has to do with the ability to differentiate, estimate, and infer ideas and concepts.
Which of cognitive skills in critical thinking has to do with your ability to differentiate estimate and infer ideas and concepts?
Evaluation has to do with the ability to differentiate, estimate, and infer ideas and concepts.
