Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein are to determine a set of constraints based on aggregate values of demographic features associated with respective ones of the geographic locations. Disclosed example apparatus are also to construct a model to return probabilities that respective ones the respondents are associated with the respective ones of the geographic locations, the model to have a set of parameters, respective ones of the parameters to be associated with respective ones of the constraints. Disclosed example apparatus are further to evaluate the model based on values of the set of parameters and values of the demographic features for a first one of the respondents to determine a set of probabilities that the first respondent is to be assigned to respective ones of the geographic locations.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein are to determine a set of constraints based on aggregate values of demographic features associated with respective ones of the geographic locations. Disclosed example apparatus are also to construct a model to return probabilities that respective ones the respondents are associated with the respective ones of the geographic locations, the model to have a set of parameters, respective ones of the parameters to be associated with respective ones of the constraints. Disclosed example apparatus are further to evaluate the model based on values of the set of parameters and values of the demographic features for a first one of the respondents to determine a set of probabilities that the first respondent is to be assigned to respective ones of the geographic locations.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein are to determine a set of constraints based on aggregate values of demographic features associated with respective ones of the geographic locations. Disclosed example apparatus are also to construct a model to return probabilities that respective ones the respondents are associated with the respective ones of the geographic locations, the model to have a set of parameters, respective ones of the parameters to be associated with respective ones of the constraints. Disclosed example apparatus are further to evaluate the model based on values of the set of parameters and values of the demographic features for a first one of the respondents to determine a set of probabilities that the first respondent is to be assigned to respective ones of the geographic locations.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein are to determine a set of constraints based on aggregate values of demographic features associated with respective ones of the geographic locations. Disclosed example apparatus are also to construct a model to return probabilities that respective ones the respondents are associated with the respective ones of the geographic locations, the model to have a set of parameters, respective ones of the parameters to be associated with respective ones of the constraints. Disclosed example apparatus are further to evaluate the model based on values of the set of parameters and values of the demographic features for a first one of the respondents to determine a set of probabilities that the first respondent is to be assigned to respective ones of the geographic locations.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign synthetic respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein include a constraint identifier to determine a set of constraints based on aggregate values of demographic features associated with the geographic locations. Disclosed example apparatus also include a parameter evaluator to determine a set of parameters of a model that is to return probabilities that respective ones of the respondents are associated with respective ones of the geographic locations, respective ones of the parameters being associated with respective ones of the constraints.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign synthetic respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein include a constraint identifier to determine a set of constraints based on aggregate values of demographic features associated with the geographic locations. Disclosed example apparatus also include a parameter evaluator to determine a set of parameters of a model that is to return probabilities that respective ones of the respondents are associated with respective ones of the geographic locations, respective ones of the parameters being associated with respective ones of the constraints.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign synthetic respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein include a constraint identifier to determine a set of constraints based on aggregate values of demographic features associated with the geographic locations. Disclosed example apparatus also include a parameter evaluator to determine a set of parameters of a model that is to return probabilities that respective ones of the respondents are associated with respective ones of the geographic locations, respective ones of the parameters being associated with respective ones of the constraints.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign synthetic respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein include a constraint identifier to determine a set of constraints based on aggregate values of demographic features associated with the geographic locations. Disclosed example apparatus also include a parameter evaluator to determine a set of parameters of a model that is to return probabilities that respective ones of the respondents are associated with respective ones of the geographic locations, respective ones of the parameters being associated with respective ones of the constraints.