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2. 8 home value estimator websites compared - AOL

   www.aol.com/finance/8-home-value-estimator...

   Zillow. Zillow’s Zestimate is one of the best-known home value estimators out there, and like many of its competitors, all you need to use it is the home’s address. Per the company’s website ...

3. Estimator - Wikipedia

   en.wikipedia.org/wiki/Estimator

   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. A common way of phrasing it is "the estimator is the method selected to obtain an estimate of an unknown parameter". The parameter being estimated is sometimes called the estimand.

4. The 7 Best Home Buying Apps for 2022 - AOL

   www.aol.com/finance/7-best-home-buying-apps...

   The 7 Best House-Hunting Apps. Zillow, Trulia, HomeSnap, Redfin and even Realtor.com are among the house-listing websites that have become an essential part of the home-buying process, and all of ...

5. How to read and compare mortgage loan estimates - AOL

   www.aol.com/finance/read-compare-mortgage-loan...

   Page one also includes the applicant’s name, the date of the loan estimate, the home’s address and the property’s price. On page one, “you should make sure the interest rate and loan ...

6. Minimum-variance unbiased estimator - Wikipedia

   en.wikipedia.org/wiki/Minimum-variance_unbiased...

   Minimum-variance unbiased estimator. In statistics a minimum-variance unbiased estimator (MVUE) or uniformly minimum-variance unbiased estimator (UMVUE) is an unbiased estimator that has lower variance than any other unbiased estimator for all possible values of the parameter. For practical statistics problems, it is important to determine the ...

7. Three-point estimation - Wikipedia

   en.wikipedia.org/wiki/Three-point_estimation

   These values are used to calculate an E value for the estimate and a standard deviation (SD) as L-estimators, where: E = (a + 4m + b) / 6 SD = (b − a) / 6. E is a weighted average which takes into account both the most optimistic and most pessimistic estimates provided. SD measures the variability or uncertainty in the estimate.