It depends on what a 'reasonable estimator' is. A good estimator is usually one which is considered unbiased. That is Expected value of the estimator = E[x] = the answer In your case, the E[x] = 500 but the answer is actually 490. This represents a 2% margin of error. Since it's a pretty simple computation, I personally think that error is not reasonable.
A variable expression.
mathematicschoosing a variable to represent an unknown quantity
You can unset a variable in PHP by setting it to NULL. You can set a variable to NULL by declaring it normally, or using the function "unset()". Both methods are acceptable, and accomplish the same thing. Examples of both: ---- $variable = NULL; ---- unset($variable); ----
Maybe your speaking a variable that contains a ternary operators such as:
The proof that demonstrates the unbiased estimator of variance involves showing that the expected value of the estimator equals the true variance of the population. This is typically done through mathematical calculations and statistical principles to ensure that the estimator provides an accurate and unbiased estimate of the variance.
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
Google Adwords Traffic Estimator is useful because it helps owners of websites figure out the level of traffic they should expect to see on their website. Since it is an estimate, it will not be 100% correct, but can be used as a good basis for the website operators.
The basis for assessments is provided through feedback.
Answer this question Critria of good estimator
The stability in the empire provides a sound basis for arts and science.
If salary is on per lecture basis then it is variable cost otherwise it is fixed cost.
domain
The answer depends on what variable the maximum likelihood estimator was for: the mean, variance, maximum, median, etc. It also depends on what the underlying distribution is. There is simply too much information that you have chosen not to share and, as a result, I am unable to provide a more useful answer.