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One of the most difficult aspects of the real estate market is estimating the value of a home. With local market conditions changing all the time, it can be hard to accurately price a property. In ...
Land value taxation (i.e. property tax applied only to the unimproved value of land) has a long history in the United States dating back from Physiocrat influence on Thomas Jefferson and Benjamin Franklin. It is most famously associated with Henry George and his book Progress and Poverty (1879), which argued that because the supply of land is ...
A land value tax ( LVT) is a levy on the value of land without regard to buildings, personal property and other improvements upon it. [1] Some economists favor LVT, arguing it does not cause economic inefficiency, and helps reduce economic inequality. [2] A land value tax is a progressive tax, in that the tax burden falls on land owners ...
In statistics, the bias of an estimator (or bias function) is the difference between this estimator 's expected value and the true value of the parameter being estimated. An estimator or decision rule with zero bias is called unbiased. In statistics, "bias" is an objective property of an estimator. Bias is a distinct concept from consistency ...
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 ...
In statistics, maximum likelihood estimation ( MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed data. This is achieved by maximizing a likelihood function so that, under the assumed statistical model, the observed data is most probable. The point in the parameter space that maximizes the ...
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