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Traffic estimators give you an estimate of how many readers you can expect to get with a published article. All of this depends on the type of keywords you use and how well you use them in your article. Most estimators will help you generate good keywords to put into your articles as well.
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What is the uses of ratio estimator?
what is the use and application of ratio estimator?
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.
Why median is not a consistent estimator?
Because it is easily influenced by extreme values (i.e. it is not unbiased).
Using a pooled sample estimator for sigma squared assumes the two populations have what?
equal variances
What is an unbiased estimator?
An unbiased estimator is a person who gives a price for a service or goods and that person has no ulterior motives that would influence the price either way. A person who is biased might reflect the estimated price to show favor to one person more than another. For example: If my uncle was to bid on a job and I was the estimator for the person who wanted the work done, then I would have a bias in that I would reflect the price so that my uncle would get the job. This is unethical and illegal. An unbiased person has no preference as to who would get the job and would do the estimate honestly. An unbiased estimator has a very specific meaning in statistics and a good statistician needs to answer this meaning of the term.
How does one become a traffic estimator?
Using online tools, anyone can be a traffic estimator of their own site, however, to be a traffic estimator as a career, one would seek employment with a large website which was in requirement of such services to monitor site usage.
How is a Google Adwords Traffic Estimator useful for a website?
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.
What is the purpose of a traffic estimator?
How to use the web estimation tool to interact with a specialist site. Notices for information about the Website, notices of information on the Site, notices of notices, notices (organines, ad listings, or posted advertisements), date and time notices, notices, and notices.
What is the correct spelling for estimator?
Estimator is the correct spelling.
What is an efficient estimator?
In statistics, an efficient estimator is an estimator that estimates the quantity of interest in some "best possible" manner
What is another name for sales estimator?
what is another name for estimator
What is the uses of ratio estimator?
what is the use and application of ratio estimator?
What is the criteria of a good estimator in econometrics?
Answer this question Critria of good estimator
Who can operate only light traffic checkpoints?
Reconnaissance sections and squads.
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.
Is www-sitelogr-com accurate?
Hi! I have found another website traffic and value estimator site. I'm talking about http://www.estimix.com. The estimation provided by estimix is the result of a complex analysis based on factors like: the age of the website, the demographic structure of the traffic, the countries where the website is popular and sources of the traffic.
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.
