公开(公告)号：US12045899B2

公开(公告)日：2024-07-23

申请号：US13242585

申请日：2011-09-23

申请人： Elif Onmus-Baykal ,  Eric Rosenblatt ,  Dwayne D. Seegars ,  Herbert F. Frymark, Jr. ,  Benjamin Ross Hoffman

发明人： Elif Onmus-Baykal ,  Eric Rosenblatt ,  Dwayne D. Seegars ,  Herbert F. Frymark, Jr. ,  Benjamin Ross Hoffman

IPC分类号： G06Q50/16 ,  G06Q40/02

CPC分类号： G06Q50/16 ,  G06Q40/02

摘要： Indexing and adjusting for property condition in an automated valuation model. Property data corresponding to a geographical area is accessed, and a regression is performed based upon the property data. The regression models the relationship between a dependent variable, such as price, and property-characteristic explanatory variables. Further regression is then performed and models or further explains the relationship between the dependent variable and property condition explanatory variables. Specifically, further regression may model the relationship between the residual from the first regression and the property condition variables. Optional examples of these variables are those based upon the presence of predetermined remarks in associated property listings, the number of photos in such listings, and a categorical year built variable. The regression is used to determine a property-condition index for the geographical area. The property-condition index identifies a predicted condition that is used to make adjustments to comparable properties in automated valuation modeling.

公开(公告)号：US20130080340A1

公开(公告)日：2013-03-28

申请号：US13242585

申请日：2011-09-23

申请人： Elif Onmus-Baykal ,  Eric Rosenblatt ,  Dwayne D. Seegars ,  Herbert F. Frymark, JR. ,  Benjamin Ross Hoffman

发明人： Elif Onmus-Baykal ,  Eric Rosenblatt ,  Dwayne D. Seegars ,  Herbert F. Frymark, JR. ,  Benjamin Ross Hoffman

IPC分类号： G06Q50/16

CPC分类号： G06Q50/16 ,  G06Q40/02

摘要： Indexing and adjusting for property condition in an automated valuation model. Property data corresponding to a geographical area is accessed, and a regression is performed based upon the property data. The regression models the relationship between a dependent variable, such as price, and property-characteristic explanatory variables. Further regression is then performed and models or further explains the relationship between the dependent variable and property condition explanatory variables. Specifically, further regression may model the relationship between the residual from the first regression and the property condition variables. Optional examples of these variables are those based upon the presence of predetermined remarks in associated property listings, the number of photos in such listings, and a categorical year built variable. The regression is used to determine a property-condition index for the geographical area. The property-condition index identifies a predicted condition that is used to make adjustments to comparable properties in automated valuation modeling.

摘要翻译： 自动估价模型中的财产状况的索引和调整。 访问对应于地理区域的属性数据，并且基于属性数据执行回归。 回归模型建立了一个因变量（如价格）和财产特征解释变量之间的关系。 然后进行进一步的回归，模型或进一步解释因变量与属性条件解释变量之间的关系。 具体来说，进一步的回归可以模拟第一回归的残差与属性条件变量之间的关系。 这些变量的可选示例是基于在相关联的物业列表中存在预定的备注，这样的列表中的照片的数量以及分类年份的变量。 回归用于确定地理区域的财产状况指数。 财产状况指数确定用于在自动估价建模中对可比性质进行调整的预测条件。