Search results
Results From The WOW.Com Content Network
FNC Inc. publishes the Residential Price Index based on data collected from public records blended with real-time appraisals of property and neighborhood attributes. The RPI is the mortgage industry's first hedonic price index for residential properties.
In the more general multiple regression model, there are independent variables: = + + + +, where is the -th observation on the -th independent variable.If the first independent variable takes the value 1 for all , =, then is called the regression intercept.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.
The sales comparison approach (SCA) is a real estate appraisal valuation method that relies on the assumption that a matrix of attributes or significant features of a property drive its value. For examples, in the case of a single family residence, such attributes might be floor area, views, location, number of bathrooms, lot size, age of the ...
An Automated Valuation Model (AVM) is a system for the valuation of real estate that provides a value of a specified property at a specified date, using mathematical modelling techniques in an automated manner. [1] [2] AVMs are Statistical Valuation Methods and divide into Comparables Based AVMs and Hedonic Models.
The data are usually collected over time and over the same individuals and then a regression is run over these two dimensions. Multidimensional analysis is an econometric method in which data are collected over more than two dimensions (typically, time, individuals, and some third dimension). [2]
For example, detailed notes on the meaning of linear time trends in the regression model are given in Cameron (2005); [1] Granger, Engle, and many other econometricians have written on stationarity, unit root testing, co-integration, and related issues (a summary of some of the works in this area can be found in an information paper [2] by the ...
Bayesian linear regression is a type of conditional modeling in which the mean of one variable is described by a linear combination of other variables, with the goal of obtaining the posterior probability of the regression coefficients (as well as other parameters describing the distribution of the regressand) and ultimately allowing the out-of-sample prediction of the regressand (often ...