Advances in Automated Valuation Modeling: AVM After the by Maurizio d'Amato, Tom Kauko

By Maurizio d'Amato, Tom Kauko

This e-book addresses numerous difficulties concerning automatic valuation methodologies (AVM). Following the non-agency loan problem, it deals numerous ways to enhance the potency and caliber of an automatic valuation technique (AVM) facing rising difficulties and varied contexts. Spatial factor, evolution of AVM criteria, multilevel versions, fuzzy and tough set purposes and quantitative the way to outline comparables are only a few of the themes discussed.

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VfA determination . . . . . . . . . . . . . . VfB determination . . . . . . . . . . . . . . VfC determination . . . . . . . . . . . . . . Quantifying locational variable and proximity . . . . Valuation short tab . . . . . . . . . . . . . Marginal cost application to characteristics of real estate properties to estimate . . . . . . . . . . . . . Table 9 Interval estimation of Short Tab MCA final results . . Table 10 The interval valuation .

Reducing the Appraisal Bias in Manual Valuations with Decision Support Systems Table Table Table Table 1 2 3 4 Number of participants in the sub-samples Adjustments of market values . . . . . Variation measures . . . . . . . . Significance test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338 339 339 340 A sample of 14 DCF inputs in Bari . . . . . . . Descriptive statistics of the sample.

Moran’s I—Scarsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Reducing the Appraisal Bias in Manual Valuations with Decision Support Systems Table Table Table Table 1 2 3 4 Number of participants in the sub-samples Adjustments of market values . . . . . Variation measures . . . . . . . . Significance test . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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