Well, honey, a good estimator needs to have a keen eye for details, a solid understanding of the project scope, excellent math skills, and the ability to make educated guesses without breaking a sweat. Basically, they need to be part Sherlock Holmes, part human calculator, and all-around badass at predicting costs. So, if you're looking for someone to estimate your project like a pro, make sure they've got these qualities in spades.
In statistics, an efficient estimator is an estimator that estimates the quantity of interest in some "best possible" manner
I believe you want to say, "as the sample size increases" I find this definition on Wikipedia that might help: In statistics, a consistent sequence of estimators is one which converges in probability to the true value of the parameter. Often, the sequence of estimators is indexed by sample size, and so the consistency is as sample size (n) tends to infinity. Often, the term consistent estimator is used, which refers to the whole sequence of estimators, resp. to a formula that is used to obtain a term of the sequence. So, I don't know what you mean by "the value of the parameter estimated F", as I think you mean the "true value of the parameter." A good term for what the estimator is attempting to estimate is the "estimand." You can think of this as a destination, and your estimator is your car. Now, if you all roads lead eventually to your destination, then you have a consistent estimator. But if it is possible that taking one route will make it impossible to get to your destination, no matter how long you drive, then you have an inconsistent estimator. See related links.
standard error
Coefficient of varation
The sample mean is an unbiased estimator of the population mean because the average of all the possible sample means of size n is equal to the population mean.
Answer this question Critria of good estimator
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.
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.
Some of the main qualities of a good precis are completeness, compactness, brevity, clarity, and coherence.
yes, turbo tax is a good tax estimator. this is because you can tally up your mortgage and other tax areas. this can be beneficial for you and your family.
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One can find a good job as an Estimator via the 'Indeed' website where there are many listings for jobs of this type. Listings can also be found on 'Monster' and 'Jobsite'.
If you want an online, free tax refund estimator you should follow this link to 1040's tax refund calculator: http://www.1040.com/tax-tools/tax-estimator/
Estimator is the correct spelling.
In statistics, an efficient estimator is an estimator that estimates the quantity of interest in some "best possible" manner
what is the use and application of ratio estimator?
what is another name for estimator